Abstract: The standard client selection algorithms for Federated Learning (FL) are often unbiased and involve uniform random sampling of clients. This has been proven sub-optimal for fast convergence ...
Greedy approximation techniques in Banach space theory constitute a vibrant area of functional analysis concerned with constructing sparse representations of elements in infinite‐dimensional spaces.
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