Publications

Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation

Internet of Things (IoT) devices possess valuable but high-risk data in various modalities, calling for the multimodal decentralized …

Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

Federated learning encounters substantial challenges with heterogeneous data, leading to performance degradation and convergence …

Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhiqiang Tian, Zhongyu Li

Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor

Federated learning encounters a critical challenge of data heterogeneity, adversely affecting the performance and convergence of the …

Jinqian Chen, Jihua Zhu, Qinghai Zheng