Xiangfeng Zhu

Xiangfeng Zhu

xfzhu (at) cs (dot) washington (dot) edu
GitHub, Twitter, LinkedIn
Résumé, CV
Google Scholar, DBLP


I'm a first year Ph.D. student at the Systems Lab, University of Washington, advised by Arvind Krishnamurthy and Ratul Mahajan. I am also working closely with Danyang Zhuo.

Previously, I obtained my bachelor's degree (with honors) from University of Michigan, where I worked with Mosharaf Chowdhury at the SymbioticLab . I also worked with Harsha V. Madhyastha, Junchen Jiang, and Peter Alvaro

My research interests are broadly in systems and networking. My recent works have focused on building systems for emerging large-scale workloads such as big data analytics and machine learning.


FLPerf: A Comprehensive Benchmark for Federated Learning at Scale
Fan Lai, Yinwei Dai, Sanjay Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
Under Review, [preprint]

Netherite: Efficient and Reliable Execution for Stateful Serverless Applications
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
Under Review, [preprint]

FedScale: Benchmarking Model and System Performance of Federated Learning
Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
Best Paper Award
ACM SOSP ResilientFL, 2021, [paper][talk][website]

Oort: Efficient Federated Learning via Guided Participant Selection
Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
Distinguished Artifact Award
USENIX OSDI, 2021, [paper][talk][extended report][media coverage]
Acceptance Rate: 18.79%

Sol: Fast Distributed Computation Over Slow Networks
Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
USENIX NSDI, 2020, [paper][talk][media coverage]
Acceptance Rate: 18.36%

Fixed It For You: Protocol Repair Using Lineage Graphs
Lennart Oldenburg, Xiangfeng Zhu, Kamala Ramasubramanian, Peter Alvaro
CIDR, 2019, [paper][featured on "Morning Paper'']


I'm actively maintaining a personal blog about summaries of papers/blogs I read and reading lists on various topics, including cloud computing, machine learning systems, and video analytics.

Work Experience:

Microsoft Research

Research Intern, RiSE GroupMay 2021 - Aug. 2021
Mentor: Dr. Sebastian Burckhardt


Software Engineer Intern, Serverless Team May 2020 - Aug. 2020


Software Engineer Intern, Filesystem Team May 2019 - Aug. 2019
San Francisco, CA

Professional Activities:



Contact Me:

I'm pretty active online. The best ways to reach me are using one of the social media above, or sending me an email at xzhu0027 (at) gmail (dot) com or xfzhu (at) cs.washington (dot) edu