Abstract: Federated Learning (FL) is a privacy-preserving distributed Machine Learning (ML) technique. Hierarchical FL is a novel variant of FL applicable to networks with multiple layers. Instead of ...
Abstract: The design and analysis of distributed learning for multiagent networks generally resort to the graph-theoretical methods in the leader–follower framework, but how to exploit new ...
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