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Journal Articles
- 2022
[j2]Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher Meiklejohn, Xiangfeng Zhu:
Netherite: Efficient Execution of Serverless Workflows. Proc. VLDB Endow. 15(8): 1591-1604 (2022)- 2020
- [j1]Solomon Asante-Okyere
, Chuanbo Shen, Yao Ziggah Yevenyo, Mercy Moses Rulegeya, Xiangfeng Zhu:
Principal component analysis (PCA) based hybrid models for the accurate estimation of reservoir water saturation. Comput. Geosci. 145: 104555 (2020)
Conference and Workshop Papers
- 2023
- [c7]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:
Dissecting Overheads of Service Mesh Sidecars. SoCC 2023: 142-157 - [c6]Xiangfeng Zhu, Weixin Deng, Banruo Liu, Jingrong Chen, Yongji Wu, Thomas Anderson, Arvind Krishnamurthy, Ratul Mahajan, Danyang Zhuo:
Application Defined Networks. HotNets 2023: 87-94 - 2022
- [c5]Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML 2022: 11814-11827 - 2021
- [c4]Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Efficient Federated Learning via Guided Participant Selection. OSDI 2021: 19-35 - [c3]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. ResilientFL 2021: 1-3 - 2020
- [c2]Fan Lai, Jie You, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Sol: Fast Distributed Computation Over Slow Networks. NSDI 2020: 273-288 - 2019
- [c1]Lennart Oldenburg, Xiangfeng Zhu, Kamala Ramasubramanian, Peter Alvaro:
Fixed It For You: Protocol Repair Using Lineage Graphs. CIDR 2019
Informal and Other Publications
- 2022
- [i3]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:
Dissecting Service Mesh Overheads. CoRR abs/2207.00592 (2022) - 2021
- [i2]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. CoRR abs/2105.11367 (2021) - 2020
- [i1]Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
Oort: Informed Participant Selection for Scalable Federated Learning. CoRR abs/2010.06081 (2020)
Coauthor Index
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