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arXiv · 1903.06996

SLSGD: Secure and Efficient Distributed On-device Machine Learning

Cong Xie·Sanmi Koyejo·Indranil Gupta
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Abstract

We consider distributed on-device learning with limited communication and security requirements. We propose a new robust distributed optimization algorithm with efficient communication and attack tolerance. The proposed algorithm has provable convergence and robustness under non-IID settings. Empirical results show that the proposed algorithm stabilizes the convergence and tolerates data poisoning on a small number of workers.

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Cong Xie, Sanmi Koyejo, Indranil Gupta. 2019-03-16. SLSGD: Secure and Efficient Distributed On-device Machine Learning. https://arxiv.org/abs/1903.06996

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