Stochastic controlled averaging for federated learning with communication compression
Communication compression, a technique aiming to reduce the information volume to be
transmitted over the air, has gained great interests in Federated Learning (FL) for the …
transmitted over the air, has gained great interests in Federated Learning (FL) for the …
Byzantine-robust and Communication-efficient Personalized Federated Learning
This paper explores constrained non-convex personalized federated learning (PFL), in
which a group of workers train local models and a global model, under the coordination of a …
which a group of workers train local models and a global model, under the coordination of a …
MG-Skip: Random Multi-Gossip Skipping Method for Nonsmooth Distributed Optimization
L Guo, L Wang, X Shi, J Cao - arXiv preprint arXiv:2312.11861, 2023 - arxiv.org
Distributed optimization methods with probabilistic local updates have recently gained
attention for their provable ability to communication acceleration. Nevertheless, this …
attention for their provable ability to communication acceleration. Nevertheless, this …