26 citations · 62 across the 14 of their papers we have counts for
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cs.LG2021★ 1 cited
Layer-wise and Dimension-wise Locally Adaptive Federated Learning
Belhal Karimi, Ping Li, Xiaoyun Li
In the emerging paradigm of Federated Learning (FL), large amount of clients such as mobile devices are used to train possibly high-dimensional models on their respective data. Com…
cs.LG2021★ 5 cited
On the Convergence of Decentralized Adaptive Gradient Methods
Xiangyi Chen, Belhal Karimi, Weijie Zhao +1
Adaptive gradient methods including Adam, AdaGrad, and their variants have been very successful for training deep learning models, such as neural networks. Meanwhile, given the nee…