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cs.LG2021★ 5 cited
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying, Kun Yuan, Yiming Chen +3
Decentralized SGD is an emerging training method for deep learning known for its much less (thus faster) communication per iteration, which relaxes the averaging step in parallel S…
cs.LG2019★ 3 cited
Global Adversarial Attacks for Assessing Deep Learning Robustness
Hanbin Hu, Mit Shah, Jianhua Z. Huang +1
It has been shown that deep neural networks (DNNs) may be vulnerable to adversarial attacks, raising the concern on their robustness particularly for safety-critical applications.…