Federated Foundation Models
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Federated Foundation Models over Vehicular Networks
arXiv:2606.06786v1 Announce Type: new Abstract: This paper presents a forward-looking vision for integrating the emerging multi-modal multi-task federated foundation models (M3T FedFMs) into vehicular networks, with the goal of unifying the expressive power of multi-modal multi-task foundation models (M3T FMs) with the privacy-preserving and distributed learning capabilities of federated learning (FL). Given the largely underexplored nature of this research direction, we first introduce the...
Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models
new Abstract: Federated fine-tuning of foundation models using Low-Rank Adaptation (LoRA) offers a communication efficient solution for distributed learning. However, existing federated LoRA methods suffer from two fundamental limitations: (1) structural aggregation bias, where independently averaging low rank factors fails to approximate the true combined update, and (2) client side initialization lag, as clients repeatedly reinitialize LoRA parameters across communication rounds, slowing...
Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation
arXiv:2606.08687v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) enables efficient federated fine-tuning of segmentation foundation models for medical imaging. However, most federated LoRA methods adopt a uniform aggregation rule, which breaks under the encoder-decoder asymmetry in medical segmentation: the encoder is dominated by appearance shifts, while the decoder is dominated by supervision variations. This mismatch entangles shared anatomy with site-specific biases and harms...
FlashbackCL: Mitigating Temporal Forgetting in Federated Learning
arXiv:2606.03939v1 Announce Type: new Abstract: Federated Learning (FL) of foundation and edge models increasingly targets deployments where client data distributions drift over time, yet existing forgetting-mitigation methods assume each client's distribution is stationary. Flashback, the strongest recent FL method against cross-client (spatial) forgetting, uses monotonically accumulating per-class label counts as a knowledge proxy; this proxy becomes miscalibrated under temporal...
Policy on the AI Exponential
Policy on the AI Exponential In one of the side plots to The Lord of the Rings, two of the Hobbits attempt to rouse Treebeard—a wise but ponderous sentient tree—to defend his forest from an army that is cutting it down. The problem is that Treebeard operates at a very different speed than the Hobbits. It takes him a full day simply to say hello to another tree, so getting him and his peers to act fast enough is nearly impossible.
Commentary: UMNO’s ‘selective confrontations’ in Johor, Negeri Sembilan seek to push Anwar into a corner. What's next?
Commentary: UMNO’s ‘selective confrontations’ in Johor, Negeri Sembilan seek to push Anwar into a corner. The impending snap polls in Johor and Negeri Sembilan are not simply state-level electoral contests. They are opening salvos by the United National Organisation (UMNO) to set the stage for a national power struggle that will test the foundations of Malaysia’s first genuine multi-coalition government, writes CNA's Leslie Lopez.
Amplified Arctic iceberg traffic reshapes benthic biodiversity
Abstract The Arctic is undergoing rapid warming, resulting in retreating sea ice and glaciers1, yet how cryospheric changes propagate into the deep ocean remains poorly understood2. Here we identify a climate-driven mechanism linking accelerating glacier disintegration to an increase in deep-sea hard-bottom habitats far beyond calving fronts. Seafloor observations in Fram Strait show a localized increase in the density and patchiness of dropstones delivered by debris-laden icebergs.
Obama Writes His Own Story
On a recent morning at Chicago’s new Obama Presidential Center, the institution’s leadership discussed presidential papers the way a decluttering convert might talk about some old sweaters they tossed because they did not spark joy. The campus contains many features sure to delight the misty-eyed visitors who will flock here once it opens, on June 19: a museum that can come across like a pep talk from a more hopeful time; a light-filled basketball court; a whimsical playground; a public...
Predictive Autoscaling in Cloud-Native and Federated Cloud-Edge Computing Environments: A Taxonomy and Future Directions
arXiv:2606.07046v1 Announce Type: new Abstract: Autoscaling is a key capability in cloud-native systems, where dynamic workloads, heterogeneous environments, and latency-sensitive applications require efficient and adaptive resource management. Traditional reactive approaches based on fixed thresholds often respond too late, leading to resource imbalance, performance degradation, and unstable scaling behavior. Recent advances in predictive models, Kubernetes Custom Resource Definitions...
The lawsuits that could give AI its ‘Big Tobacco’ moment
The legal strategy that hammered the tobacco industry and inspired a cascade of social media lawsuits is posing a rising threat to artificial intelligence companies. That threat got its boldest example Monday when Florida Republican Attorney General James Uthmeier sued OpenAI and CEO Sam Altman, alleging in part that ChatGPT is a dangerous product for users’ mental health and public safety. The suit is a novel use of product liability law for AI — and it parallels a legal strategy that...