132 citations · 1.3k across the 52 of their papers we have counts for
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stat.ML2019★ 83 cited
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
While the last few decades have witnessed a huge body of work devoted to inference and learning in distributed and decentralized setups, much of this work assumes a non-adversarial…
stat.ML2019★ 20 cited
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
Machine learning has begun to play a central role in many applications. A multitude of these applications typically also involve datasets that are distributed across multiple compu…