FedQVR matches the O(1/ε) communication complexity of SCAFFOLD while using quantized uplink updates and heterogeneous local steps, with an enhanced version for radio resource allocation.
Demystifying model averaging for communication-efficient federated matrix factorization,
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Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
FedQVR matches the O(1/ε) communication complexity of SCAFFOLD while using quantized uplink updates and heterogeneous local steps, with an enhanced version for radio resource allocation.