10 stories tagged with #federated, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
Federated continual learning (FCL) evaluates how distributed clients learn from changing data streams while retaining previously learned knowledge. Existing evaluations are difficu…
I built an open-source, federated Discord alternative with E2EE
On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach
Asynchronous decentralized federated learning (ADFL) eliminates central coordination and global synchronization, making it attractive for large-scale and heterogeneous systems. How…
Form 144 FEDERATED HERMES INC. For: 26 May
Federated Hermes delivers 65% return after Fair Value identified upside
Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning
Machine unlearning in Vertical Federated Learning (VFL) has attracted growing interest, yet existing methods certify forgetting solely using output-level metrics. We challenge thes…
Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions
Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. W…
Federated Hermes: New Appointments To Drive Growth And Diversification
My 'Buy' rating for Federated Hermes (FHI) remains intact, after assessing the stock's future growth and diversification potential.…
Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables
Cardiovascular disease remains the leading cause of death worldwide, and early detection of arrhythmias through continuous ECG monitoring on wearable devices can prevent life-threa…
Sparse Federated Representation Learning for precision oncology clinical workflows during mission-critical recovery windows
My exploration of this topic began during a late-night research session in early 2024, where I was studying the intersection of federated learning and oncology. I had just read a p…