Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error

Author:

Peng Jie,Li WeiyuORCID,Ling Qing

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference51 articles.

1. Distributed asynchronous constrained stochastic optimization;Srivastava;IEEE J. Sel. Top. Sign. Proces.,2011

2. Distributed learning in the nonconvex world: From batch data to streaming and beyond;Chang;IEEE Signal Process. Mag.,2020

3. Asymptotic network independence in distributed stochastic optimization for machine learning: Examining distributed and centralized stochastic gradient descent;Pu;IEEE Signal Process. Mag.,2020

4. Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent;Lian,2017

5. M. Assran, N. Loizou, N. Ballas, M.G. Rabbat, Stochastic Gradient Push for Distributed Deep Learning, in: International Conference on Machine Learning, 2019, pp. 344–353.

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