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Combining Differential Privacy and Byzantine Resilience in Distributed SGD
Privacy and Byzantine resilience (BR) are two crucial requirements of modern-day distributed machine learning.
On The Robustness of a Neural Network
This bound involves dependencies on the network parameters that can be seen as being too pessimistic in the average case.
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