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ORCIDFeng Zhu 0025
Person information
- affiliation: North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, NC, USA
- affiliation (former): Fudan University, School of Information Science and Technology, Shanghai, China
Other persons with the same name
- Feng Zhu — disambiguation page
- Feng Zhu 0001 — Arizona State University, Department of Computer Science and Engineering, Tempe, AZ, USA (and 2 more)
- Feng Zhu 0002 — Radboud University Nijmegen, the Netherlands
- Feng Zhu 0003
![[0000-0002-8468-183X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-8468-183X")
— Central South University, School of Metallurgy and Environmental Employment, Changsha, China (and 1 more) - Feng Zhu 0004 — Zhejiang University, College of Pharmaceutical Sciences, Hangzhou, China (and 2 more)
- Feng Zhu 0005 — University of Technology Sydney, Australia (and 1 more)
- Feng Zhu 0006 — SenseTime Group Ltd. (and 1 more)
- Feng Zhu 0007 — Foshan University, Department of Chemical Engineering, China
- Feng Zhu 0008 — Nanyang Technological University, School of Civil and Environmental Engineering, Singapore (and 1 more)
- Feng Zhu 0009 — National University of Defense Technology, College of Systems Engineering, Changsha, China
- Feng Zhu 0010 — University of Alabama in Huntsville, Department of Computer Science, AL, USA (and 1 more)
- Feng Zhu 0011 — Ant Group (and 1 more)
- Feng Zhu 0012 — Wuhan University, School of Geodesy and Geomatics, Hubei Luojia Laboratory, Wuhan, China
- Feng Zhu 0013 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Feng Zhu 0014 — Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, Shenyang, China (and 2 more)
- Feng Zhu 0015 — Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, China (and 1 more)
- Feng Zhu 0016 — City University of Hong Kong, Department of Systems Engineering, Hong Kong (and 1 more)
- Feng Zhu 0017 — King's College London, UK
- Feng Zhu 0018 — Sun Yat-Sen University, School of Physics and Astronomy, Zhuhai, China (and 1 more)
- Feng Zhu 0019 — Chinese Academy of Sciences, National Time Service Center, Xi'an, China (and 2 more)
- Feng Zhu 0020 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Feng Zhu 0021 — Microsoft, Redmond, WA, USA (and 1 more)
- Feng Zhu 0022 — Nanjing University of Posts and Telecommunications, School of Communications and Information Engineering, Nanjing, China
- Feng Zhu 0023 — Harvard University, Harvard Business School, Boston, MA, USA (and 2 more)
- Feng Zhu 0024 — Alibaba Group, Hangzhou, China
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2020 – today
- 2026
[j3]Feng Zhu, Aritra Mitra, Robert W. Heath Jr.:
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling. Trans. Mach. Learn. Res. 2026 (2026)- [i7]Feng Zhu, Robert W. Heath Jr., Aritra Mitra:
A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms. CoRR abs/2602.05304 (2026) - 2025
- [c3]Feng Zhu, Aritra Mitra, Robert W. Heath Jr.:
Distributed Stochastic Approximation with Constant Communication. IEEECONF 2025: 1735-1739 - [i6]Feng Zhu, Aritra Mitra, Robert W. Heath Jr.:
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling. CoRR abs/2504.11645 (2025) - 2024
- [j2]Feng Zhu, Jingjing Zhang, Xin Wang:
STSyn: Speeding Up Local SGD With Straggler-Tolerant Synchronization. IEEE Trans. Signal Process. 72: 4050-4064 (2024) - [c2]Feng Zhu, Robert W. Heath Jr., Aritra Mitra:
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning. CDC 2024: 2658-2663 - [i5]Feng Zhu, Robert W. Heath Jr., Aritra Mitra:
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning. CoRR abs/2409.05291 (2024) - 2023
- [j1]Feng Zhu, Jingjing Zhang, Xin Wang:
Communication-efficient local SGD with age-based worker selection. J. Supercomput. 79(12): 13794-13816 (2023) - [i4]Feng Zhu, Jingjing Zhang, Shengyun Liu, Xin Wang:
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data. CoRR abs/2309.01779 (2023) - 2022
- [c1]Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang:
Adaptive Worker Grouping for Communication-Efficient and Straggler-Tolerant Distributed SGD. ISIT 2022: 2996-3000 - [i3]Feng Zhu, Jingjing Zhang, Osvaldo Simeone, Xin Wang:
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD. CoRR abs/2201.04301 (2022) - [i2]Feng Zhu, Jingjing Zhang, Xin Wang:
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization. CoRR abs/2210.03521 (2022) - [i1]Feng Zhu, Jingjing Zhang, Xin Wang:
Communication-Efficient Local SGD with Age-Based Worker Selection. CoRR abs/2210.17073 (2022)
Coauthor Index
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