Zhifeng Jiang

Ph.D. student in CSE, HKUST




I derive great pleasure from capturing fleeting moments through the lens of my camera and immortalizing them on the pages of my blog. I also love practising flute.

About Me

I am a final-year PhD student in Computer Science and Engineering, Hong Kong University of Science and Technology, advised by Prof. Wei Wang. I also work closely with Dr. Ruichuan Chen and Prof. Bo Li. I got my B.S. degree in Computer Science from Zhejiang University in 2019.

Research Interests: Privacy-Preserving Machine Learning

I develop systems support for efficient, private, and robust federated computation over the Internet.

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


  • 2023-09: Dordis has been accepted to ACM EuroSys 2024.
  • 2023-06: Win HKUST RedBird Academic Excellence Award.
  • 2023-05: Brainstorm with Prof. Marco Canini and Prof. Suhaib A Fahmy from KAUST.
  • 2023-02: Present our work Dordis at Google Internal Workshop.

Selected Papers

  • ACM EuroSys'24 Efficient Federated Learning with Dropout-Resilient Differential Privacy
    Zhifeng Jiang, Wei Wang, Ruichuan Chen
  • [preprint] [code]
  • IEEE TBD'23 Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
    Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
  • [pdf] [code] [html] [bibtex]
  • ACM SoCC'22 Pisces: Efficient Federated Learning via Guided Asynchronous Training
    Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
  • [pdf] [code] [html] [slides] [poster] [bibtex]
  • IEEE ICDCS'21 Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning
    Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
  • [pdf] [code] [html] [recording] [bibtex]
    Best Paper Runner-Up Award

Other Recent Papers

  • Preprint Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
    Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
  • [preprint]
  • Preprint FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
    Zhifeng Jiang, Wei Wang, Yang Liu
  • [preprint] [code]


  • Engineering Intern, Huawei Tech, Hangzhou, Zhejiang, China, Feb - May 2019
    Project: Building a Serverless Infrastructure from Scratch
  • Research Intern, University of California, San Diego, La Jolla, CA, USA, Jul - Sept 2018
    Project: Defense against Return-Oriented Programming

Academic Services

  • Journal Sub-Reviewer: IEEE Transactions on Network Science and Engineering, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Big Data
  • Conference Sub-Reviewer: IEEE INFOCOM 2020-2024, IEEE ICDCS 2023 and 2021, IEEE/ACM IWQoS 2020-2021, IEEE WoWMoM 2021, IEEE ICNP 2020

Honors & Awards

  • RedBird Academic Excellence Award (by HKUST Fok Ying Tung Graduate School)
  • Best Paper Runner-Up Award (IEEE ICDCS'21)
  • Outstanding Graduate (by Department of Education of Zhejiang Province)
  • He Zhijun Scholarship (Top 10 in Dept. CS, Zhejiang University)
  • National Scholarship (by Ministry of Education of China)