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cs.LG2026
Federated stochastic bilevel optimization with fully first-order gradients
Yihan Zhang, Rohit Dhaipule, Chiu C Tan +2
Federated stochastic bilevel optimization has been actively studied in recent years due to its widespread applications in machine learning. However, most existing federated stochas…
cs.LG2026
EMA: Efficient Model Adaptation for Learning-based Systems
Daiyang Yu, Xinyu Chen, Yihan Zhang +3
Machine learning (ML) is increasingly applied to optimize system performance in tasks such as resource management and network simulation. Unlike traditional ML tasks (e.g., image c…
cs.LG2025
Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise
Xinwen Zhang, Yihan Zhang, Heng Liang +1
Existing decentralized stochastic optimization methods assume the lower-level loss function is strongly convex and the stochastic gradient noise has finite variance. These strong a…