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 native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...
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