John J. Stephan

Combining Differential Privacy and Byzantine Resilience in Distributed\n SGD

2021 · arXiv (Cornell University)

Privacy and Byzantine resilience (BR) are two crucial requirements of\nmodern-day distributed machine learning. The two concepts have been extensively\nstudied individually but the question of how to combine them effectively\nremains unanswered. This paper contributes to addressing …