Abstract: User-Defined Functions (UDFs) have long served as the standard method for extending the capabilities of data management systems. With the advent of WebAssembly (WASM), UDFs' dependencies, ...
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 ...
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