[PDF][PDF] 基于自适应梯度压缩的高效联邦学习通信机制研究
唐伦， 汪智平， 蒲昊， 吴壮， 陈前斌 - 电子与信息学报, 2022 - jeit.ac.cn
… during federated learning detection, a threshold Adaptive Lazily Aggregated Gradient (ALAG)
is … Communication-efficient learning of deep networks from decentralized data[C]. The 20th …
is … Communication-efficient learning of deep networks from decentralized data[C]. The 20th …
自适应量化权重用于通信高效联邦学习.
周治威， 刘为凯， 钟小颖 - Control Theory & Applications …, 2022 - search.ebscohost.com
… resources in federated learning and training, two federal learning algorithms are proposed
… in iterative process, can adjusts adaptive quantization factor, and constantly reduces the …
… in iterative process, can adjusts adaptive quantization factor, and constantly reduces the …