Abstract Federated learning is an effective solution for edge training. but the limited bandwidth and insufficient computing resources of edge devices restrict its deployment. Different from existing methods that only consider communication efficiency such as quantization and sparsification. this paper proposes an efficient federated training framework based on model pruning to simult... https://seriouswatchers.shop/product-category/watch-bands/