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Mahsa Taziki

2 accepted papers

2018

Asynchronous Byzantine Machine Learning (the case of SGD)

ICML 2018oral

Asynchronous distributed machine learning solutions have proven very effective so far, but always assuming perfectly functioning workers. In practice, some of the workers can however exhibit Byzantine behavior, caused by hardware failures, software bugs, corrupt data, or even malicious attacks. We i…

2018

Personalized and Private Peer-to-Peer Machine Learning

AISTATS 2018poster

The rise of connected personal devices together with privacy concerns call for machine learning algorithms capable of leveraging the data of a large number of agents to learn personalized models under strong privacy requirements. In this paper, we introduce an efficient algorithm to address the abov…

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