The UN Special Rapporteur on the situation of human rights in the Palestinian territories occupied since 1967 recently announced a study addressing the killings and attacks against Palestinian journalists and media workers, the destruction of media infrastructure in Gaza, and the production and dissemination of narratives that may enable, justify, or incite international crimes. 

As part of this consultation, EFF contributed a submission that identifies a significant deterioration of press freedom and free expression in the period since October 2023, including an increase in censorship and wave of killings of journalists; adding to an already pervasive censorship and surveillance regime for Palestinians. 

In particular, concerns raised in our submission relate to:

1. Government takedown requests 
2. Disinformation and content moderation
3. Attacks on internet infrastructure

The concerns about censorship in Palestine are ever increasing, and include multiple international forums. Ending the deliberate digital isolation of the Palestinian people is critical to protecting fundamental human rights.

Read the briefing in full here.

A U.S. citizen who teaches Persian poetry classes online is suddenly unable to receive payments or access funds when his account is flagged and frozen by Paypal and its subsidiary Venmo. A Muslim city councilwoman in New York City has a Venmo payment blocked because she uses the name of a Bangladeshi restaurant in the transaction. Online hubs for erotic storytelling repeatedly lose their payment accounts. Others active in drug legalization fights struggle to keep their bank accounts.

These may sound like one-off issues, but they are not. They occur with frightening regularity, as former EFF Activism Director and Chief Program Officer, Rainey Reitman, who left EFF in 2022, describes in her new book, Transaction Denied. The book sheds new light on a serious problem that often hides in the shadows, and pushes us to ask an increasingly important question: “Is it ever OK for financial intermediaries to act as the arbiters of online expression?"  

Both a storyteller and an advocate, Rainey exposes hidden systems of power that shape our choices, our speech, and, ultimately, our society. - Cindy Cohn

Reitman makes her case about the impact of financial institutions and payment intermediaries shutting down accounts and inhibiting transactions through compelling individual stories, some of which have not been shared before. The people impacted are diverse: authors, teachers, journalists, elected politicians, and more are suddenly unable to retrieve or receive funds, with little explanation, transparency, or recourse. Reitman shows the reasons are frequently speech-related, resulting often from arbitrary corporate policy, a broad (mis)interpretation of the law, or in response to pressure from anti-speech advocates. 

In the example of the Persion poetry teacher, the blocking is due to the highly risk averse interpretation of U.S. sanctions on Iran—sanctions aimed at deterring weapons development or terrorism instead snared a poetry professor and a New York city councilwoman.  Reitman demonstrates how these sanctions, and others, have an outsized impact on Muslims.

But Transaction Denied is also a guide for those interested in fighting for free speech. The book covers over a decade of successful campaigns and shows that advocacy can win the day—and is sometimes necessary to counter pro-censorship campaigns. Reitman offers a behind-the-scenes view of the campaign to help restore the Stripe account of the Nifty Archive Alliance, a nonprofit which supports the Nifty Archive, a hub of erotic storytelling for the queer community since 1992. She covers EFF's successful coalition and campaign to restore the PayPal account of Smashwords, a hub for self-published fiction. And in what has become a critical moment for free speech and free press, she describes how several EFF staff members and two EFF board members became the seed for a new nonprofit, the Freedom of the Press Foundation, which continues to partner with EFF today in advancing the rights of journalists.

It’s a banner time for books by EFF staff members and friends. If you're concerned about how online privacy has changed over the last three decades, read EFF Executive Director Cindy Cohn's book, Privacy Defender, released in May. (All proceeds from the sale of hard copies of Privacy’s Defender are being donated to EFF, so your book order will help EFF continue fighting for the principles Cindy holds dear.) If you are worried about the individuals trapped in a system where massive financial companies can shut down their individual accounts, effectively locking up their access to money, based entirely on their speech, grab Transaction Denied, released earlier this month, at Beacon Press, Amazon, and Bookshop.org. (Half of the author proceeds go to Freedom of the Press Foundation.) 

More likely—you'll want both books on your shelf. Happy reading! 

A new immersive sound installation at Oulu Cathedral, Finland, brings the research of MIT astrophysicist and associate professor of physics Kiyoshi Masui into a striking sensory form, transforming more than 4,000 cosmic signals into spatial audio.

With its grand opening on April 4, “The Logos” project invites visitors to experience deep-space phenomena not as distant abstractions, but as something immediate and resonant. The work is led by artist and creative technologist Andrew Melchior in collaboration with Masui, philosopher Timothy Morton, and cathedral dean Satu Saarinen. Together, they treat the cathedral, built in 1832, not just as a setting but as part of the instrument itself. Its stone surfaces and reverberant acoustics give physical presence to signals that have traveled from distant galaxies.

At the heart of the installation are data gathered by the Canadian Hydrogen Intensity Mapping Experiment (CHIME) radio telescope, which detects fast radio bursts (FRBs). FRBs are immensely energetic flashes lasting only milliseconds and originating in distant galaxies across the observable universe. The Logos represents one of the most extensive artistic sonifications of FRB data to date. Each day at noon, the cathedral is filled with a one-hour procedural composition derived from these bursts. Some bursts are singular events, never repeating, while others pulse again and again from unknown sources. These patterns remain one of astrophysics’ most compelling mysteries.

“The fast flashes will echo as snare-like beats bouncing through the cathedral,” says Masui. “The sweeping dispersion of the signal — where different radio frequencies arrive at slightly different times — creates harmonies between high and low tones. It should feel rich and layered, while also revealing something real about how these signals travel across billions of years of cosmic space before reaching Earth.”

By converting FRB data into a shared listening experience, the collaboration suggests a different way of understanding the universe: not only through analysis, but through attention.

Running through April 2027 to mark the cathedral’s 250th anniversary, The Logos will feature as part of Oulu2026 European Capital of Culture and the Lumo Art and Tech Festival. 

Cherry Tang, a master of science in real estate development student at the MIT Center for Real Estate, recently participated in an experiential learning opportunity in Panama working with Conservatorio, a development firm based in Casco Viejo. What began as a modeling exercise quickly became a deeper exploration of how development, community, and environment intersect, shaped as much by people and culture as by the work itself.

“I went in expecting to build a financial model. I didn’t expect that the experience would fundamentally reshape how I think about development,” Tang reflects.

The project centered on Santa Catalina, a remote surf town on Panama’s Pacific coast. The development comprises approximately 140 residential units across condos, villas, and homes, along with vacant lots, four retail spaces, a surf school with a stadium, and a restaurant with a pool — all envisioned as the town’s first true center.

At first glance, Tang says, Santa Catalina didn’t resemble a typical “prime” development market. It had limited infrastructure, low density, and no established core.

“What it does have is something powerful: world-class surf and access to Coiba National Park, a premier diving destination,” Tang says. “Here, the ocean becomes the anchor tenant.”

The project is designed as an open, walkable master-planned community that integrates seamlessly with the existing town. Anchored by surfing and diving, it introduces a diverse product mix and a 600-meter linear park, positioning it as the future heart of Santa Catalina and a differentiated alternative to both local developments and traditional resort-style communities.

Tang saw this as a different vision of place-making. “It wasn’t about building a resort. It was about building a center of gravity for a community that has never really had one.”

Tang’s primary role was to build the project’s financial model from the ground up. The capital structure, with land contributed as equity and sales deposits used to fund construction, required a different way of thinking than the institutional frameworks she had used in previous roles in Toronto and Boston.

“It was more than a technical exercise,” she explains. “It reinforced how financial, physical, and strategic decisions are deeply interconnected, and how thoughtful structuring can unlock projects that might otherwise not be feasible.”

Working directly with KC Hardin, founder and CEO of Conservatorio, and the broader leadership team, Tang gained firsthand exposure to real-time development decision-making. She presented her financial model to leadership and prospective investors, and her assumptions helped shape conversations around phasing, design, and construction.

“Development is a feedback loop between underwriting and the built environment,” Tang says.

Throughout the month, Tang and her colleagues met with a range of people shaping the project’s future. They spent time with local developers and brokers, learning about infrastructure improvements and ongoing real estate activity in the region. 

Tang described meeting one family with long-standing ties to the area as one of the more memorable moments.

“Their coastline conservation work in Panama is deeply inspiring,” she says.

They also met with scientists from the Smithsonian Tropical Research Institute, trekking through mangroves and learning about coastal ecosystems and the long-term environmental implications of development.

“It was a vivid reminder that development decisions don’t exist in isolation,” says Tang.

Outside of work, Panama had its way of leaving an impression. Sailing through the Panama Canal ... watching cargo ships pass through landscapes filled with monkeys and sloths ... living in Casco Viejo — each added another layer to the experience for Tang. The neighborhood itself served as a real-life case study in thoughtful, community-oriented development.

“What stayed with me most was Conservatorio’s approach to revitalization, not through displacement, but through deep engagement, trust-building, and creating pathways for local residents to be part of the area’s transformation.”

That same spirit was reflected in everyday moments, from co-workers who went out of their way to make interns feel welcome.

“Strangers greeted us like neighbors,” says Tang. “The level of warmth and hospitality defined the experience as much as the work itself.”

By the end of the month, the experience left her with more than technical skills — she had a shift in perspective.

“I began to see development less as a formula and more as a system,” she explains. “One that sits at the intersection of finance, design, environment, and community.”

Her takeaway is that value can be created in unconventional ways, and leadership in real estate is grounded in trust, curiosity, and a deep respect for place.

Tang arrived in Panama to build a model. She left with a deeper understanding of what it means to build thoughtfully — as a developer, and as a steward of place.

Government lawyers sided with gas companies urging the justices to revisit a decision by a lower bench that upheld the rules.

Delegates pointed to the Iran war — and the resulting energy crisis — as a reason to transition away from fossil fuels.

The final report could propose transformations to federal disaster aid. But it comes as the president has eased his criticism of the emergency response agency.

Ocean Winds agreed to cancel two developments in a deal with the administration. But the developer's most viable project is still on the table.

Elected officials heard hours of testimony over two days as they seek to bolster emergency plans after devastating floods last summer.

“We can only move at the speed of trust,” said one official with the state's Department of Housing and Community Development.

It's part of the Pennsylvania governor's carrots-over-sticks approach to energy policy.

Nearly all of the continent was warmer than average in 2025, scientists found.

The new figures are incompatible with the government’s green targets, campaigners say.

The nation’s first green sovereign bond offering last April raised $879 million to fund activities including climate change mitigation, biodiversity preservation and pollution control.

Where electric vehicle sales are bubbling up, analysts point to a cocktail of two ingredients: elevated gas prices and affordable new models from China.

That’s a lot. No, it’s an extraordinary number:

Since February, the Firefox team has been working around the clock using frontier AI models to find and fix latent security vulnerabilities in the browser. We wrote previously about our collaboration with Anthropic to scan Firefox with Opus 4.6, which led to fixes for 22 security-sensitive bugs in Firefox 148.

As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation...

The following is a joint announcement by the MIT Schwarzman College of Computing and IBM.

IBM and MIT today announced the launch of the MIT-IBM Computing Research Lab, advancing their long-standing collaboration to shape the next era of computing. The new lab expands its scope to include quantum computing, alongside foundational artificial intelligence research, with the goal of unlocking new computational approaches that go beyond the limits of today’s classical systems.

The MIT-IBM Computing Research Lab builds on a distinguished history of scientific excellence at the intersection of research and academia. Evolving from the MIT-IBM Watson AI Lab, which originated in 2017 on MIT’s campus, the new lab reflects a transformed technology landscape — one which AI has entered mainstream deployment, and quantum computing is rapidly advancing toward practical impact. Together, MIT and IBM aim to help lead research in AI and quantum and to redefine mathematical foundations across both domains.

“We expect the MIT-IBM Computing Research Lab to emerge as one of the world’s premier academic and industrial hubs accelerating the future of computing,” says Jay Gambetta, director of IBM Research and IBM Fellow, and IBM chair of the MIT-IBM Computing Research Lab. “Together, the brightest minds at MIT and IBM will rethink how models, algorithms, and systems are designed for an era that will be defined by the sum of what’s possible when AI and quantum computing come together.”

“For a decade, the collaboration between MIT and IBM has produced leading-edge research and innovation, and provided mentorship and supported the professional growth of researchers both at MIT and IBM,” says Anantha Chandrakasan, MIT’s provost, who, as then-dean of the School of Engineering, spearheaded the creation of the MIT-IBM Watson AI Lab and will continue as MIT chair of the lab. “The incredible technical achievements sets the bar high for our work together over the next 10 years. I look forward to another decade of impact.”

Addressing the next frontiers in computation

The MIT-IBM Computing Research Lab will serve as a focal point for joint research between MIT and IBM in AI, algorithms, and quantum computing, as well as the integration of these technologies into hybrid computing systems. The lab is designed to accelerate progress toward powerful new computational approaches that take advantage of rapid advances in AI and quantum-centric supercomputing, including those that combine maturing quantum hardware with classical systems and advanced AI methods.

This research initiative will include improving capabilities and integrating AI with traditional computing, alongside pursuing advances in small, efficient, modular language model architectures, novel AI computing paradigms, and enterprise-focused AI systems designed for deployment in real-world environments, where reliability, transparency, and trust are essential.

In parallel, the lab will rethink the mathematical and algorithmic foundations that underpin the next era of computing by accelerating the development of novel quantum algorithms for complex problems, with impacts in areas such as materials science, chemistry, and biology.

Additionally, the lab will investigate mathematical and algorithmic foundations of machine learning, optimization, Hamiltonian simulations, and partial differential equations, which are used to approximate the behaviors of dynamical systems that currently stump classical systems beyond limited scales and accuracy. Innovations from the lab could have wide implications for global industries, from more accurate weather and air turbulence prediction to better forecasts of financial market performance. Similarly, with improved optimization approaches, research from the lab could help lower risks in areas like finance, predict protein structures for more targeted medicine, and streamline global supply chains.

With its focus on AI, algorithms, and quantum, the MIT-IBM Computing Research Lab will complement and enhance the work of two of MIT’s strategic initiatives, the MIT Generative AI Impact Consortium and the MIT Quantum Initiative. MIT President Sally Kornbluth launched these strategic initiatives to broaden and deepen MIT’s impact in developing solutions to serious global challenges. The MIT-IBM Computing Research Lab will also leverage IBM’s longtime leadership and expertise in quantum computing. As part of its ambitious roadmap, IBM has laid out a clear path to delivering the world’s first fault-tolerant quantum computer by 2029, and is working across industries to drive value from quantum-centric supercomputing, tightly integrating quantum computers with high-performance computing and AI accelerators to solve the world’s toughest problems.

Deep integration with scientific domains

The MIT-IBM Computing Research Lab will also continue to serve as a foundation for training the next generation of computational scientists and innovators. It will do so by engaging faculty and students across MIT departments, enabling new computational approaches to accelerate discoveries in the physical and life sciences.

The lab will continue to be co-directed by Aude Oliva, senior research scientist at MIT’s Computer Science and Artificial Intelligence Laboratory, and David Cox, vice president of AI Foundations at IBM Research. MIT and IBM have appointed leads for each of the lab’s three focus areas — AI, algorithms, and quantum. Jacob Andreas, associate professor in the Department of Electrical Engineering and Computer Science (EECS), and Kenney Ng, principal research scientist at IBM Research and the MIT-IBM science program manager, will co-lead AI; Vinod Vaikuntanathan, the Ford Foundation Professor of Engineering in EECS, and Vasileios Kalantzis, IBM Research senior research scientist, will co-lead algorithms; and Aram Harrow, professor of physics, and Hanhee Paik, IBM director of Quantum Algorithm Centers, will co-lead quantum.

“The MIT-IBM Computing Research Lab reflects an important expansion of the collaboration between MIT and IBM and the increasing connections across AI, algorithms, and quantum. This deepened focus also underscores a strong alignment with the MIT Schwarzman College of Computing’s mission to advance the forefront of computing and its integration across disciplines,” says Dan Huttenlocher, dean of the MIT Schwarzman College of Computing and MIT co-chair of the lab. “I’m excited about what this next chapter will enable in these three areas, and their impact broadly.”

Building on nearly a decade of collaboration

The MIT-IBM Watson AI Lab helped pioneer a model for academic-industry research collaboration, aligning long-term scientific inquiry with real-world impact. Since its inception, the lab has funded over 210 research projects involving over 150 MIT faculty members and over 200 IBM researchers. Collectively, the projects have led to over 1,500 peer-reviewed articles. The lab also helped shape the career growth of a number of MIT students and junior researchers, funding more than 500 students and postdocs.

“The true measure of this lab is not just innovation, but transformation of a field. Hundreds of students have contributed to thousands of publications in top conferences and journals, demonstrating their capabilities to address meaningful problems,” says Oliva. “The MIT-IBM Computing Research Lab builds on an extraordinary legacy of impact to advance a trusted collaboration that will redefine the future of AI and quantum computing in a way never seen before.”

“By coupling academic rigor with industrial scale, the lab aims to define the computational foundations that will power the next generation of AI, quantum, and scientific breakthroughs,” says Cox. “By bringing together advances in AI, algorithms, and quantum computing under one integrated research effort, we’re creating the conditions to rethink the mathematical and computational foundations of science and engineering.”

The MIT-IBM Computing Research Lab will capitalize on this foundation, expanding both the scientific scope and the ecosystem of collaborators across the Cambridge-Boston region and beyond.

There is no question that violin-making is an art form. It requires a musician’s ear, a craftsperson’s skill, and an historian’s appreciation of lessons learned over time. Making a violin also takes trust: Violin makers, or luthiers, often must wait until the instrument is finished before they can hear how all their hard work will sound.

But a new tool developed by MIT engineers could help luthiers play around with a violin’s design and tweak its sound even before a single part is carved.

In a study appearing today in the journal npj Acoustics, the MIT team reports on a new “computational violin” — a computer simulation that captures the detailed physics of the instrument and realistically produces the sound of a violin when its strings are plucked.

While there are software programs and plug-ins that enable users to play around with virtual violins, their sounds are typically the result of sampling and averaging over thousands of notes played by actual violins.

In contrast, the new computational violin takes a physics-based approach: It produces sound based on the way the instrument, including its vibrating strings, physically interacts with the surrounding air.

As a demonstration, the researchers applied the computational violin to play two short excerpts: one from “Bach’s Fugue in G Minor,” and another from “Daisy Bell” — a nod to the first song that was ever produced by a computer-synthesized voice.

The computational violin currently simulates the sound of plucked strings — a type of playing that musicians know as “pizzicato.” Violin bowing, the researchers say, is a much more complicated interaction to model. However, the computational violin represents the first physics-based foundation of a strung violin sound that could one day be paired with a model of bowing to produce realistic, bowed violin music.

For now, the team says the new virtual violin could be used in the initial stages of violin design. Luthiers can tweak certain parameters such as a violin’s wood type or the thickness of its body, and then listen to the sound that the instrument would make in response.

“These days, people try to improve designs little by little by building a violin, comparing the sound, then making a change to the next instrument,” says Yuming Liu, senior research scientist at MIT. “It’s very slow and expensive. Now they can make a change virtually and see what the sound would be.”

“We’re not saying that we can reproduce the artisan’s magic,” adds Nicholas Makris, professor of mechanical engineering at MIT. “We’re just trying to understand the physics of violin sound, and perhaps help luthiers in the design process.”

Makris and Liu’s MIT co-authors include Arun Krishnadas PhD ’23 and former postdoc Bryce Campbell, along with Roman Barnas of the North Bennet Street School.

Sound matrix

The quality of a violin’s sound is determined by its dimensions and design. The instrument is made from thoughtfully crafted parts and materials that all work to generate and amplify sound. In recent years, scientists have sought to understand what artisans have intuited for centuries, in terms of what specific parameters shape a violin’s sound.

In one early effort in 2006, scientists, as part of the Strad3D project, put a rare Stradivarius violin through a CT scanner. The violin was crafted in 1715 by the master violinmaker Antonio Stradivari, during what is considered the “Golden Age” of violin making. To better understand the violin’s anatomy and its relation to sound, the scientists scanned the instrument and produced 600 “slices,” or views, of the violin.

The CT scans are available online for people to view and use as data for their own experiments. For their study, Makris and his colleagues first imported the CT scans into a solid modeling software program to generate a detailed three-dimensional model of the violin. They then ran a finite element simulation, essentially dividing the violin into millions of tiny individual cubes, or “elements.”

For each cube, they noted its material type, such as if a cube from the violin’s back plate is made from maple or spruce, or if a string is made from steel or natural fibers. They then applied physics-based equations of stress and motion to predict how each material element would move in relation to every other element across the instrument.

They also carried out a similar process for the air surrounding the violin, dividing up a roughly cubic-meter volume of air and applying acoustic wave equations to predict how each tiny parcel of air would move and contribute to generating sound.

“The entire thing is a matrix of millions of individual elements,” explains Krishnadas. “And ultimately, you see this whole three-dimensional being, which is the violin and the air all connected and interacting with each other.”

A plucky model

The team then simulated how the new computational violin would sound when plucked. When a violinist plucks a string, they pull the string sideways and let it go, causing the string to vibrate. These vibrations travel across the instrument and inside it; the air’s vibrations are amplified as they travel out of the violin and into the surroundings, where a listener hears the vibrations as sound.

For their purposes, the engineers simulated a simple string pluck by directing one of the virtual violin’s strings to stretch out and then rebound. The simulation computed all the resulting motions and vibrations of the millions of elements in the violin, and the sound that the pluck would produce.

For notes that require pressing down on a violin’s fingerboard, they simulated the same plucking, and in addition, included a condition in which the string is held fixed in the section of the fingerboard where a violinist’s finger would press down.

The researchers carried out this computational process to virtually pluck out the notes in several measures of “Daisy Bell” and “Bach’s Fugue in G Minor.”

“If there’s anything that’s sounding mechanical to it, it’s because we’re using the exact same time function, or standard way of plucking, for each note,” says Makris, who is himself a lute player. “A musician will adapt the way they’re plucking, to put a little more feeling on certain notes than others. But there could be subtleties which we could incorporate and refine.”

As it is, the new computational model is the first to generate realistic sound based on the laws of physics and acoustics. The researchers say that violin makers could use the model to test how a violin might sound when certain dimensions or properties are changed. For instance, when the researchers varied the thickness of the virtual violin’s back plate or changed its wood type, they could hear clear differences in the resulting sounds.

“You can tweak the model, to hear the effect on the sound,” Makris says. “Since everything obeys the laws of physics, including a violin and the music it makes, this approach can add an appreciation to what makes violin sound. But ultimately, we get most of our inspiration from the artisans.”

This work was supported, in part, by an MIT Bose Research Fellowship.

A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81 percent. This advance could enable a wider array of resource-constrained edge devices, like sensors and smartwatches, to deploy more accurate AI models while keeping user data secure.

The MIT researchers boosted the efficiency of a technique known as federated learning, which involves a network of connected devices that work together to train a shared AI model.

In federated learning, the model is broadcast from a central server to wireless devices. Each device trains the model using its local data and then transfers model updates back to the server. Data are kept secure because they remain on each device.

But not all devices in the network have enough capacity, computational capability, and connectivity to store, train, and transfer the model back and forth with the server in a timely manner. This causes delays that worsen training performance.

The MIT researchers developed a technique to overcome these memory constraints and communication bottlenecks. Their method is designed to handle a heterogenous network of wireless devices with varied limitations.

This new approach could make it more feasible for AI models to be used in high-stakes applications with strict security and privacy standards, like health care and finance.

“This work is about bringing AI to small devices where it is not currently possible to run these kinds of powerful models. We carry these devices around with us in our daily lives. We need AI to be able to run on these devices, not just on giant servers and GPUs, and this work is an important step toward enabling that,” says Irene Tenison, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on this technique.

Her co-authors include Anna Murphy ’25, a machine-learning engineer at Lincoln Laboratory; Charles Beauville, a visiting student from Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and a machine-learning engineer at Flower Labs; and senior author Lalana Kagal, a principal research scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. The research will be presented at the IEEE International Joint Conference on Neural Networks. 

Reducing lag time

Many federated learning approaches assume all devices in the network have enough memory to train the full AI model, and stable connectivity to transmit updates back to the server quickly.

But these assumptions fall short with a network of heterogenous devices, like smartwatches, wireless sensors, and mobile phones. These edge devices have limited memory and computational power, and often face intermittent network connectivity.

The central server usually waits to receive model updates from all devices, then averages them to complete the training round. This process repeats until training is complete.

“This lag time can slow down the training procedure or even cause it to fail,” Tenison says.

To overcome these limitations, the MIT researchers developed a new framework called FTTE (Federated Tiny Training Engine) that reduces the memory and communication overhead needed by each mobile device.

Their framework involves three main innovations.

First, rather than broadcasting the entire model to all devices, FTTE sends a smaller subset of model parameters instead, reducing the memory requirement for each device. Parameters are internal variables the model adjusts during training.

FTTE uses a special search procedure to identify parameters that will maximize the model’s accuracy while staying within a certain memory budget. That limit is set based on the most memory-constrained device.

Second, the server updates the model using an asynchronous approach. Rather than waiting for responses from all devices, the server accumulates incoming updates until it reaches a fixed capacity, then proceeds with the training round.

Third, the server weights updates from each device based on when it received them. In this way, older updates don’t contribute as much to the training process. These outdated data can hold the model back, slowing the training process and reducing accuracy.

“We use this semi-asynchronous approach because want to involve the least powerful devices in the training process so they can contribute their data to the model, but we don’t want the more powerful devices in the network to stay idle for a long time and waste resources,” Tenison says.

Achieving acceleration

The researchers tested their framework in simulations with hundreds of heterogeneous devices and a variety of models and datasets. On average, FTTE enabled the training procedure to reach completing 81 percent faster than standard federated learning approaches.

Their method reduced the on-device memory overhead by 80 percent and the communication payload by 69 percent, while attaining near the accuracy of other techniques.

“Because we want the model to train as fast as possible to save the battery life of these resource-constrained devices, we do have a tradeoff in accuracy. But a small drop in accuracy could be acceptable in some applications, especially since our method performs so much faster,” she says.

FTTE also demonstrated effective scalability and delivered higher performance gains for larger groups of devices.

In addition to these simulations, the researchers tested FTTE on a small network of real devices with varying computational capabilities.

“Not everyone has the latest Apple iPhone. In many developing countries, for instance, users might have less powerful mobile phones. With our technique, we can bring the benefits of federated learning to these settings,” she says.

In the future, the researchers want to study how their method could be used to increase the personalized performance of AI models on each device, rather than focusing on the average performance of the model. They also want to conduct larger experiments on real hardware.

This work was funded, in part, by a Takeda PhD Fellowship.

Nature Climate Change, Published online: 29 April 2026; doi:10.1038/s41558-026-02627-8

Droughts and tropical cyclones are two well-known hazards that can interact in dynamic ways. Now, research shows that rainfall from tropical cyclones shortens and weakens droughts in coastal regions but not in a uniform way.