Tag: privacy-preserving distributed training

FedSPA combines Shapley-value analysis and model parameter similarity to identify malicious clients in federated learning under data poisoning attacks.

A federated Decision Transformer reached 92.5% scheduling accuracy in a simulated industrial environment while reducing parameter transmission by 63% relative ...

Federated learning has become one of the most consequential architectures in modern machine learning, allowing thousands of devices to collectively ...