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10/08/2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD
Privacy and Byzantine resilience (BR) are two crucial requirements of mo...
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05/29/2021
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments
Today's large-scale algorithms have become immensely influential, as the...
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02/16/2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
This paper addresses the problem of combining Byzantine resilience with ...
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10/12/2020
Garfield: System Support for Byzantine Machine Learning
Byzantine Machine Learning (ML) systems are nowadays vulnerable for they...
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08/03/2020
Collaborative Learning as an Agreement Problem
We address the problem of Byzantine collaborative learning: a set of n n...
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02/28/2020
Distributed Momentum for Byzantine-resilient Learning
Momentum is a variant of gradient descent that has been proposed for its...
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05/05/2019
SGD: Decentralized Byzantine Resilience
The size of the datasets available today leads to distribute Machine Lea...
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02/22/2018
The Hidden Vulnerability of Distributed Learning in Byzantium
While machine learning is going through an era of celebrated success, co...
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07/25/2017
