Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...
Federated learning (FL) is a distributed machine learning paradigm that enables edge devices to participate in training as clients, and at the same time protect their privacy. Recent research in this ...
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