most citedFedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data

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cs.LG2026

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding

Mingxi Zou, Jiaxiang Chen, Junfan Li +4

Preference-based alignment methods (e.g., RLHF, DPO) typically optimize a single scalar objective, implicitly averaging over heterogeneous human preferences. In practice, systemati…

cs.LG2024

Online Optimization for Learning to Communicate over Time-Correlated Channels

Zheshun Wu, Junfan Li, Zenglin Xu +2

Machine learning techniques have garnered great interest in designing communication systems owing to their capacity in tackling with channel uncertainty. To provide theoretical gua…