8 citations · 14 across the 7 of their papers we have counts for
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cs.LG2023★ 2 cited
Momentum Benefits Non-IID Federated Learning Simply and Provably
Ziheng Cheng, Xinmeng Huang, Pengfei Wu +1
Federated learning is a powerful paradigm for large-scale machine learning, but it faces significant challenges due to unreliable network connections, slow communication, and subst…
stat.ML2023
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models
Ziheng Cheng, Junzi Zhang, Akshay Agrawal +1
Laplacian regularized stratified models (LRSM) are models that utilize the explicit or implicit network structure of the sub-problems as defined by the categorical features called…