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cs.LG2026
LakeMLB: Data Lake Machine Learning Benchmark
Feiyu Pan, Tianbin Zhang, Aoqian Zhang +5
Data lakes have become a fundamental platform for large-scale machine learning by enabling flexible management of heterogeneous data. Despite their growing importance, standardized…
cs.LG2024
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
Wenjun Ding, Ying An, Lixing Chen +3
Federated Adversarial Learning (FAL) is a robust framework for resisting adversarial attacks on federated learning. Although some FAL studies have developed efficient algorithms, t…
cs.LG2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to -Level Stochastic Optimizations
Xiaokang Pan, Xingyu Li, Jin Liu +4
STOchastic Recursive Momentum (STORM)-based algorithms have been widely developed to solve one to -level () stochastic optimization problems. Specifically, they use es…