Population Scaling or Data Dilution? Dynamics of Local Topology Evolution in Decentralized Learning.

arXiv:2610.05476v2 Announce Type: replace-cross Abstract: Scaling decentralized learning changes not only the number of clients $N$, but also the dynamics of information propagation and consensus. We argue that the effect of increasing $N$ cannot be understood