Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Maranjyan, Artavazd"'
We study the problem of minimizing the expectation of smooth nonconvex functions with the help of several parallel workers whose role is to compute stochastic gradients. In particular, we focus on the challenging situation where the workers' compute
Externí odkaz:
http://arxiv.org/abs/2410.04285
In Distributed optimization and Learning, and even more in the modern framework of federated learning, communication, which is slow and costly, is critical. We introduce LoCoDL, a communication-efficient algorithm that leverages the two popular and e
Externí odkaz:
http://arxiv.org/abs/2403.04348
We study a class of distributed optimization algorithms that aim to alleviate high communication costs by allowing the clients to perform multiple local gradient-type training steps prior to communication. While methods of this type have been studied
Externí odkaz:
http://arxiv.org/abs/2210.16402