Two papers accepted at ICML 2018

The following two papers have been accepted at  the 35th International Conference on Machine Learning (ICML 2018) in Stockholm, Sweden, July 10-15, 2018.

Asynchronous Decentralized Parallel Stochastic Gradient Descent by Xiangru Lian (University of Rochester), Wei Zhang (IBM), Ce Zhang, Ji Liu (University of Rochester).

D2: Decentralized Training over Decentralized Data by Hanlin Tang (University of Rochester), Xiangru Lian (University of Rochester), Ming Yan (Michigan State University), Ce Zhang, Ji Liu (University of Rochester).