2 papers
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.IT2026
Perfect Privacy and Strong Stationary Times for Markovian Sources
Fangwei Ye, Zonghong Liu, Parimal Parag +1
We consider the problem of sharing correlated data under a perfect information-theoretic privacy constraint. We focus on redaction (erasure) mechanisms, in which data are either wi…