Adaptive Determinantal Client Scheduling in Federated Learning
This work first design the kernel matrices of DPPs using gradient information and quality scores, which inherently enables a flexible quality-diversity trade-off, and proposes Adaptive Determinantal Client Scheduling (ADCS) in FL.
Wen Xu, Ben Liang, G. Boudreau et al.
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