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Found 2 papers, 1 papers with code
Asynchronous Byzantine Machine Learning (the case of SGD)
The dampening component bounds the convergence rate by adjusting to stale information through a generic gradient weighting scheme.
Personalized and Private Peer-to-Peer Machine Learning
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.
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