Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
The @a_sync('async') decorator can be used to define an asynchronous function that can also be executed synchronously.
Abstract: In perceptive mobile networks (PMNs) with integrated sensing and communication (ISAC), asynchronous transceivers introduce carrier frequency offsets (CFOs) and timing offsets (TOs) that ...
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