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cs.LG2023★ 2 cited
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei, Xian Wei, Yingjie Liu +2
Although Deep Learning (DL) has achieved success in complex Artificial Intelligence (AI) tasks, it suffers from various notorious problems (e.g., feature redundancy, and vanishing…
cs.LG2022
FedMR: Fedreated Learning via Model Recombination
Ming Hu, Zhihao Yue, Zhiwei Ling +2
As a promising privacy-preserving machine learning method, Federated Learning (FL) enables global model training across clients without compromising their confidential local data.…