Fan Lai

Ph.D. candidate in CSE
University of Michigan, Ann Arbor


4828 BBB
2260 Hayward St
Ann Arbor, MI 48109-2121

University of Michigan

About Me

I am a 5th-year PhD student in Computer Science and Engineering, University of Michigan, advised by Prof. Mosharaf Chowdhury. I am also closely working with Prof. Harsha V. Madhyastha.

My research interests are at the intersection of networked systems and machine learning in the context of large-scale data-intensive computing, including designing distributed big data systems and optimizing systems with learning techniques.

Prior to Umich, I got my B.S. degree in Computer Science from Shanghai Jiao Tong University in 2017.

Recent Papers

  • [Preprint] FedScale: Benchmarking Model and System Performance of Federated Learning
    Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
  • [preprint (long version)] [code] [bibtex]
    Short Version@SOSP ResilientFL, 2021 (Best Paper Award)
  • [OSDI'21] Oort: Efficient Federated Learning via Guided Participant Selection
    Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
  • [pdf] [slides] [code] [bibtex] (Distinguished Artifact Award)
  • [NSDI'20] Sol: Fast Distributed Computation Over Slow Networks
    Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
  • [pdf] [slides] [code] [bibtex]
  • [HotCloud'18] To Relay or Not to Relay for Inter-Cloud Transfers?
    Fan Lai, Mosharaf Chowdhury, Harsha Madhyastha
  • [pdf] [slides] [bibtex]
  • [Preprint] Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
    Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
  • [Preprint] Efficient DNN Training with Knowledge-Guided Layer Freezing
    Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury


  • Best Paper Award (ResilientFL'21)
  • Distinguished Artifact Award Winner (OSDI'21)
  • National Scholarship