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cs.LG2026
Learning Sampled-data Control for Swarms via MeanFlow
Anqi Dong, Yongxin Chen, Karl H. Johansson +1
Steering large-scale swarms with only limited control updates is often needed due to communication or computational constraints, yet most learning-based approaches do not account f…
cs.LG2025
Federated Flow Matching
Zifan Wang, Anqi Dong, Mahmoud Selim +2
Data today is decentralized, generated and stored across devices and institutions where privacy, ownership, and regulation prevent centralization. This motivates the need to train…
cs.LG2025
OAT-FM: Optimal Acceleration Transport for Improved Flow Matching
Angxiao Yue, Anqi Dong, Hongteng Xu
As a powerful technique in generative modeling, Flow Matching (FM) aims to learn velocity fields from noise to data, which is often explained and implemented as solving Optimal Tra…