
A novel single-loop algorithm, SLDBO, is proposed for efficiently solving decentralized bilevel optimization problems without any heterogeneity assumptions, and it achieves the best-known convergence rate.


coremsg

efficient-single-loop-algorithm-for-decentralized-bilevel-optimization


Efficient Single-Loop Algorithm for Decentralized Bilevel Optimization


title_rewrite


This paper introduces DAGM, a novel decentralized algorithm for bilevel optimization that leverages a penalty function and decentralized Hessian inverse approximation to achieve efficient communication and fast convergence.


a-penalty-based-decentralized-algorithm-for-bilevel-programming-with-efficient-communication


A Penalty-Based Decentralized Algorithm for Bilevel Programming with Efficient Communication



This paper introduces C2DFB, a novel decentralized bilevel optimization algorithm that achieves both communication and computation efficiency by leveraging first-order gradient oracles and a reference point-based compression strategy.


c2dfb-a-communication-and-computation-efficient-first-order-method-for-decentralized-bilevel-optimization


C2DFB: A Communication and Computation Efficient First-Order Method for Decentralized Bilevel Optimization
