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pro vyhledávání: '"ER, Guner Dilsad"'
We address the problem of client participation in federated learning, where traditional methods typically rely on a random selection of a small subset of clients for each training round. In contrast, we propose FedBack, a deterministic approach that
Externí odkaz:
http://arxiv.org/abs/2411.19242
We consider a distributed learning problem, where agents minimize a global objective function by exchanging information over a network. Our approach has two distinct features: (i) It substantially reduces communication by triggering communication onl
Externí odkaz:
http://arxiv.org/abs/2405.10618
In this manuscript, we present a novel method for estimating the stochastic stability characteristics of metastable legged systems using the unscented transformation. Prior methods for stability analysis in such systems often required high-dimensiona
Externí odkaz:
http://arxiv.org/abs/2212.09361
Akademický článek
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