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 ...
Abstract: In practical cell-free (CF) massive multiple-input multiple-output (MIMO) networks with distributed and low-cost access points, the asynchronous arrival of signals at the user equipments ...
Calling translateSignal with a static string as the key parameter adds an unnecessary async task, which complicates component testing and adds an unnecessary render on the component itself. I would ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback