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 final-year PhD student in Computer Science and Engineering, University of Michigan, advised by Prof. Mosharaf Chowdhury and Prof. Harsha V. Madhyastha, and was a visiting researcher at Meta AI. I got my B.S. degree in Computer Science from Shanghai Jiao Tong University in 2017.

Research Interests: Machine learning systems, big data analytics, and networked systems

I develop systems support across different layers of the software stack for efficient datacenter-scale and wide-area computing, including deep learning systems for the cloud, and distributed systems for fast federated computation over the Internet.

I am on the job market for academic and research positions.

Selected Papers

  • NSDI'23 ModelKeeper: Accelerating DNN Training via Automated Training Warmup
    Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury
  • [pdf] [code] [bibtex]
  • ICML'22 FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
    Fan Lai, Yinwei Dai, Sanjay S. Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
  • [pdf] [slides] [code] [bibtex]
    Best Paper Award@SOSP ResilientFL, 2021
  • 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]

Other Recent Papers

  • EuroSys'23 Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
    Yiding Wang, Decang Sun, Kai Chen, Fan Lai, Mosharaf Chowdhury
  • [preprint]
  • ICLR'23 Coverage-centric Coreset Selection for High Pruning Rates
    Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
  • [preprint]
  • Preprint Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering
    Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha Madhyastha, Mosharaf Chowdhury
  • [preprint]
  • Preprint Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs
    Sanjay S. Singapuram, Fan Lai, Chuheng Hu, Mosharaf Chowdhury
  • [preprint]
  • Preprint Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
    Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
  • [preprint]

Industry Experience

  • Visiting Researcher, Meta AI, Menlo Park, CA, February - August 2022
    Project: Research on Machine Learning + Systems

Honors & Awards

  • Best Paper Award (ResilientFL'21)
  • Distinguished Artifact Award Winner (OSDI'21)
  • National Scholarship (Awarded by Ministry of Education of China)