Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity

arXiv:2509.22860v3 Announce Type: replace-cross Abstract: Asynchronous stochastic gradient methods are central to scalable distributed optimization, particularly when devices differ in computational capabilities. Such settings arise naturally in federated learning, where train...

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