Tan Chen

Tan Chen

Undergraduate

Dept. of Electronic Engineering, Tsinghua University

Biography

Tan Chen is a Ph.D. student at Tsinghua University. His research interests include edge computing, federated learning, and vehicular networks.

Research Interests

  • Edge Computing
  • Federated Learning
  • Vehicular Networks
  • device scheduling in wireless federated learning

Publications

Conference Papers

2025

[Comput. Commun.] J. Yan , T. Chen , Y. Sun , Z. Nan , S. Zhou , Z. Niu , "On the Impact of Mobility in Asynchronous Federated Learning over Device-to-Device Networks" , in IEEE International Conference on Computer Communications (INFOCOM), Workshop on Pervasive Network Intelligence for 6G Networks, 2025
[IEEE International Conference on Parallel and Distributed Systems (ICPADS)] Y. Bai , Y. Sun , T. Chen , W. Chen , S. Zhou , Z. Niu , "FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning" , in IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2025

2023

[ITC] T. Chen , J. Yan , Y. Sun , S. Zhou , D. Gunduz , Z. Niu , "Data-heterogeneous hierarchical federated learning with mobility" , in 35th International Teletraffic Congress (ITC-35), 2023

Journal Articles

2025

[IEEE TWC] J. Yan , T. Chen , Y. Sun , Z. Nan , S. Zhou , Z. Niu , "Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning" , in IEEE Transactions on Wireless Communications, 2025 PDF
[IEEE TVT] T. Chen , J. Yan , Y. Sun , S. Zhou , D. Gündüz , Z. Niu , "Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks" , in IEEE Transactions on Vehicular Technology, 2025 PDF
[IEEE TMC] T. Chen , J. Yan , Y. Sun , S. Zhou , D. Gündüz , Z. Niu , "FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning" , in IEEE Transactions on Mobile Computing, 2025 PDF

2023

[ZTE Commun.] J. Yan , T. Chen , B. Xie , Y. Sun , S. Zhou , Z. Niu , "Hierarchical Federated Learning: Architecture, Challenges, and Its Implementation in Vehicular Networks" , in ZTE Communications, 2023