Smarter Client Selection Cuts Federated Learning Costs and Thwarts Privacy Attacks
A new phased client selection method for federated learning improves accuracy, cuts training time and communication costs, and strengthens defenses ...
A new phased client selection method for federated learning improves accuracy, cuts training time and communication costs, and strengthens defenses ...
A rigorous dyadic experiment at Ghent University found that autistic and non-autistic pairs communicated with equal efficiency in a collaborative ...
A new federated learning framework called FedEntGate uses entropy-aware dynamic gating and adaptive differential privacy to cut communication overhead by ...
Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...
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© 2025 Scienmag - Science Magazine