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stat.ML2018
Asynchronous Byzantine Machine Learning (the case of SGD)
Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui +2
Asynchronous distributed machine learning solutions have proven very effective so far, but always assuming perfectly functioning workers. In practice, some of the workers can howev…
stat.ML2018
The Hidden Vulnerability of Distributed Learning in Byzantium
El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
While machine learning is going through an era of celebrated success, concerns have been raised about the vulnerability of its backbone: stochastic gradient descent (SGD). Recent a…