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Yi-Wei Zeng

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#federated learning Review Open access Sep 2026

A Review of Lightweight Federated Learning Research for Home Edge IoT

A co-optimization research framework is proposed, incorporating pruning rate, quantization bit width, and aggregation weights into a unified optimization space, to strike a balance among global model accuracy, training energy consumption, and convergence speed under device resource constraints.

Yi-Wei Zeng · 0 citations

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