A nested bisection and golden-section search over bandwidth, power, CPU frequency, and local accuracy minimizes the completion time of federated unlearning under wireless channel uncertainty.
Communication-efficient learning of deep networks from decentralized data,
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Federated Unlearning Over Wireless Networks
A nested bisection and golden-section search over bandwidth, power, CPU frequency, and local accuracy minimizes the completion time of federated unlearning under wireless channel uncertainty.