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洞見 - Decentralized Bilevel Optimization
Efficient Single-Loop Algorithm for Decentralized Bilevel Optimization
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.
A Penalty-Based Decentralized Algorithm for Bilevel Programming with Efficient Communication
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.
C2DFB: A Communication and Computation Efficient First-Order Method for Decentralized Bilevel Optimization
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.
