Computer scientists have developed an adaptive framework combining federated learning, recurrent neural networks, and multi-objective optimization to shield mobile ad ...
A new decentralized federated learning framework uses particle swarm optimization to dynamically select clients, reporting 76.2% accuracy on CIFAR-10 under ...
Simulated distribution-grid case studies found that a serverless, committee-based federated-learning framework combined near-centralized false-data-injection detection with resistance to tested malicious ...
A new study compares federated averaging, decentralized gossip learning, and a hybrid of the two for classifying invasive ductal carcinoma ...
Researchers at Vanderbilt University have developed a resilient adaptive aggregation method that enables peer-to-peer machine learning networks to reach consensus ...
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