Byzantine-Robust Decentralized Federated Learning
Minghong Fang, Zifan Zhang, et al.
CCS 2024
In this paper we consider relaxation methods for solving linear systems of equations. These methods are suited for execution on a parallel system of processors. They have the feature of allowing a minimal amount of communication of computational status between the computers, so that the relaxation process, while taking on a chaotic appearance, reduces programming and processor time of a bookkeeping nature. We give a precise characterization of chaotic relaxation, some examples of divergence, and conditions guaranteeing convergence. © 1969.
Minghong Fang, Zifan Zhang, et al.
CCS 2024
Martin Charles Golumbic, Renu C. Laskar
Discrete Applied Mathematics
Sankar Basu
Journal of the Franklin Institute
Fausto Bernardini, Holly Rushmeier
Proceedings of SPIE - The International Society for Optical Engineering