Fan Qi
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Distributed×1AI×1
Frequent co-authors
Research Timeline
2026
Boosting Multimodal Federated Learning via Chained Modality Optimization
The paper proposes FedMChain, a novel federated learning framework that structures multimodal training into sequential phases to mitigate modality competition and improve model performance while reducing communication overhead.
Highlighted terms show continued research focus across papers
Papers
cs.DCcs.AIRecentJun 1, 2026
Boosting Multimodal Federated Learning via Chained Modality Optimization
Zixin Zhang, Fan Qi, Shuai Li, Xiaoshan Yang +1 more
The paper proposes FedMChain, a novel federated learning framework that structures multimodal training into sequential phases to mitigate modality competition and improve model performance while reduc…
View →