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cs.LG2026
Decentralized Learning via Random Walk with Jumps
Zonghong Liu, Matthew Dwyer, Salim El Rouayheb
We study decentralized learning over networks where data are distributed across nodes without a central coordinator. Random walk learning is a token-based approach in which a singl…
cs.LG2024
The Entrapment Problem in Random Walk Decentralized Learning
Zonghong Liu, Salim El Rouayheb, Matthew Dwyer
This paper explores decentralized learning in a graph-based setting, where data is distributed across nodes. We investigate a decentralized SGD algorithm that utilizes a random wal…