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cs.DC2026
MODAIC: Coordinated Asynchrony for Decentralized Multimodal Learning
Yanhang Shi, Xiaoyu Wang, Houwei Cao +2
Multimodal decentralized learning enables collaboration across heterogeneous edge devices without sharing raw data, but differing modality sets create coupled computation and commu…
cs.LG2026
When Does -Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the Implicit Bias
Ye Su, Jian Li, Yong Liu
Benign overfitting is well-characterized in geometries, but its behavior under the implicit bias of greedy ensembles remains challenging. The analytical barrier s…
cs.LG2026
PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning
Yanhang Shi, Xiaoyu Wang, Houwei Cao +2
Multimodal decentralized federated learning (DFL) must support collaboration among agents that hold different modality subsets and often different model components, while operating…