9 citations · 9 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 9 cited
RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data
Guang Yang, Ke Mu, Chunhe Song +2
Federated learning is a widely used distributed deep learning framework that protects the privacy of each client by exchanging model parameters rather than raw data. However, feder…
cs.CC2019
Querying a Matrix through Matrix-Vector Products
Xiaoming Sun, David P. Woodruff, Guang Yang +1
We consider algorithms with access to an unknown matrix via matrix-vector products, namely, the algorithm chooses vectors $\mathbf{v}^1, \ldots, \math…
cs.GT2018
Sharing Information with Competitors
Simina Brânzei, Claudio Orlandi, Guang Yang
We study the mechanism design problem in the setting where agents are rewarded using information only. This problem is motivated by the increasing interest in secure multiparty com…