Byzantine-tolerant distributed learning of finite mixture models
arXiv:2407.13980v3 Announce Type: replace-cross
Abstract: Traditional statistical methods need to be updated to work with modern distributed data storage paradigms. A common approach is the split-and-conquer framework, which involves learning models o…