2026
Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity
ICML 2026poster
Label Distribution Learning (LDL) models supervision as an instance-wise probability distribution, enabling fine-grained learning under inherent ambiguity, but its success relies on high-fidelity label distributions that are costly to obtain and thus often noisy. Motivated by privacy-sensitive appli…