cs.LG

Row-stochastic matrices can provably outperform doubly stochastic matrices in decentralized learning

arXiv:2511.19513v2 Announce Type: replace
Abstract: Decentralized learning often involves a weighted global loss with heterogeneous node weights $\lambda$. We revisit two natural strategies for incorporating these weights: (i) embedding them into the …