5 citations · 18 across the 15 of their papers we have counts for
4 papers · 1 filter
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
Shuchen Zhu, Boao Kong, Songtao Lu +2
This paper studies decentralized bilevel optimization, in which multiple agents collaborate to solve problems involving nested optimization structures with neighborhood communicati…
A Mathematics-Inspired Learning-to-Optimize Framework for Decentralized Optimization
Yutong He, Qiulin Shang, Xinmeng Huang +2
Most decentralized optimization algorithms are handcrafted. While endowed with strong theoretical guarantees, these algorithms generally target a broad class of problems, thereby n…
Distributed Bilevel Optimization with Communication Compression
Yutong He, Jie Hu, Xinmeng Huang +3
Stochastic bilevel optimization tackles challenges involving nested optimization structures. Its fast-growing scale nowadays necessitates efficient distributed algorithms. In conve…
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
Boao Kong, Shuchen Zhu, Songtao Lu +2
Stochastic bilevel optimization (SBO) is becoming increasingly essential in machine learning due to its versatility in handling nested structures. To address large-scale SBO, decen…