Sotabase

Career

· PhD Software Engineer Intern, Service Mesh Team, Uber2023–2023
· Research Assistant, University of Washington, Systems Lab2021–

Publications (14)

This paper is included in the Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation.
303
cited
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
International Conference on Machine Learning · 2021
257
cited
FedScale: Benchmarking Model and System Performance of Federated Learning
ResilientFL · 2021
70
cited
Netherite: efficient execution of serverless workflows
The VLDB journal · 2022
58
cited
Dissecting Overheads of Service Mesh Sidecars
ACM Symposium on Cloud Computing · 2023
34
cited
Oort: Informed Participant Selection for Scalable Federated Learning
arXiv.org · 2020
29
cited
Sol: Fast Distributed Computation Over Slow Networks
Symposium on Networked Systems Design and Implementation · 2020
24
cited
Dissecting Service Mesh Overheads
arXiv.org · 2022
19
cited
Summary of "DeepXplore: Automated Whitebox Testing of Deep Learning Systems"
2020
7
cited
Application Defined Networks
ACM Workshop on Hot Topics in Networks · 2023
6
cited
High-level Programming for Application Networks
Symposium on Networked Systems Design and Implementation · 2025
5
cited
Fixed It For You: Protocol Repair Using Lineage Graphs
Conference on Innovative Data Systems Research · 2019
4
cited
Rethinking RPC Communication for Microservices-based Applications
USENIX Workshop on Hot Topics in Operating Systems · 2025
2
cited
Summary of "Tiresias: A GPU Cluster Manager for Distributed Deep Learning"
2020
Sotabase
Xiangfeng Zhu | Researcher Profile | Sotabase | Sotabase