Robust Learning

Robust Personalized Federated Learning with Sparse Penalization
Federated learning (FL) is an emerging topic due to its advantage in collaborative learning with distributed data. Due to the …
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
PDF Cite
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach
Decentralized sparsity learning has attracted a significant amount of attention recently due to its rapidly growing applications. In this paper, we proposed a decentralized surrogate median regression (deSMR) method for efficiently solving the decentralized sparsity learning problem.
Weidong Liu, Xiaojun Mao, Xin Zhang
PDF Cite