A federated learning framework jointly optimizes model pruning, gradient quantization, and transmission power to reduce training cost under delay and energy limits.
Federated learning in mobile edge networks: A comprehensive survey,
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Lightweight Federated Learning over Wireless Edge Networks
A federated learning framework jointly optimizes model pruning, gradient quantization, and transmission power to reduce training cost under delay and energy limits.