A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization

Author:

Yi Xinlei1,Zhang Shengjun2,Yang Tao3,Chai Tianyou3,Johansson Karl Henrik1

Affiliation:

1. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Division of Decision and Control Systems,Sweden

2. University of North Texas,Department of Electrical Engineering,Denton,TX,USA,76203

3. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University,Shenyang,China,110819

Funder

Knut and Alice Wallenberg Foundation

Swedish Foundation for Strategic Research

Swedish Research Council

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Reference63 articles.

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2. Decentralized stochastic gradient tracking for empirical risk minimization;zhang;ArXiv Preprint,2019

3. Quantized decentralized stochastic learning over directed graphs;taheri;Proc Int Conf Machine Learning,0

4. Robust and communication-efficient collaborative learning;reisizadeh;Advances in neural information processing systems,0

5. Communication compression for decentralized training;tang;Advances in neural information processing systems,0

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