AI RESEARCH
S$^3$LDBO: A Snapshot Single-Loop Algorithm for Decentralized Bilevel Optimization
arXiv CS.LG
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ArXi:2605.31311v1 Announce Type: cross Networked AI systems increasingly rely on multiple agents that collaboratively learn and adapt models over communication networks. In such systems, bilevel formulations naturally arise in hyperparameter optimization, data cleaning, and meta-learning, but the repeated evaluation of gradients, Jacobians, and Hessians can impose a substantial computational burden on individual agents.