32 citations · 32 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 32 cited
Learning Privately over Distributed Features: An ADMM Sharing Approach
Yaochen Hu, Peng Liu, Linglong Kong +1
Distributed machine learning has been widely studied in order to handle exploding amount of data. In this paper, we study an important yet less visited distributed learning problem…
cs.DC2018
Stochastic Distributed Optimization for Machine Learning from Decentralized Features
Yaochen Hu, Di Niu, Jianming Yang +1
Distributed machine learning has been widely studied in the literature to scale up machine learning model training in the presence of an ever-increasing amount of data. We study di…