A federated learning framework jointly optimizes model pruning, gradient quantization, and transmission power to reduce training cost under delay and energy limits.
Sparks of generative pretrained transformers in edge intelligence for the metaverse: Caching and inference for mobile artificial intelligence-generated content services,
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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.