Xiangfeng Zhu

Xiangfeng Zhu

xfzhu (at) cs (dot) washington (dot) edu
GitHub, Twitter, LinkedIn
Curriculum Vitae
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 Matthew Lentz, Harsha V. Madhyastha, Junchen Jiang, and Peter Alvaro

My research interests are broadly in systems and networking. My recent works focus on microservices, service mesh, and application-level networking.


Characterizing Service Mesh Performance Overheads
Xiangfeng Zhu, Guozhen She, Bowen Xue, Yu Zhang, Yongsu Zhang, Xuan Kelvin Zou, XiongChun Duan, Peng He, Arvind Krishnamurthy, Matthew Lentz, Danyang Zhuo, Ratul Mahajan
Under Review, [Technical Report]

FedScale: Benchmarking Model and System Performance of Federated Learning
Fan Lai, Yinwei Dai, Sanjay Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
ICML, 2022, [paper][website]
Acceptance Rate: 21.94%
(Short Version: Best Paper Award @ ACM SOSP ResilientFL, 2021, [paper][talk])

Netherite: Efficient Execution of Serverless Workflows
Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
VLDB, 2022, [paper][website][media coverage]

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 a reading list on various topics in system and networking.

Work Experience:

VMware Research

Incoming Research Intern, VMware Research Group June 2022 - Sep. 2022
Mentor: Radhika Niranjan Mysore

Microsoft Research

Research Intern, RiSE GroupMay 2021 - Aug. 2021
Mentor: 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