Feilong Zhang

PhD student, Harbin Institute of Technology, Harbin Institute of Technology

Joined

March 2022

Names

Feilong Zhang (Preferred)

飞龙张

Emails

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Harbin Institute of Technology, Harbin Institute of Technology (hit.edu.cn)

2020 – Present

Advisors, Relations & Conflicts

PhD Advisor

xianming liu

2020 – Present

Introduction Network Peer

Yixuan Weng

2026 – 2026

Expertise

Federated Learning

2021 – Present

Publications

Communication-Efficient Federated Learning via Model Update Distillation
Feilong Zhang, Xianming Liu, Qingbin Wei, Deming Zhai, Shiyi Lin, Junjun Jiang, Xiangyang Ji
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Overhead-free Noise-tolerant Federated Learning: A New Baseline
Shiyi Lin, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji
- Mach. Intell. Res. 2024
- Readers: Everyone
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji
- ICLR 2024
- Readers: Everyone
Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning
Qingbin Wei, Feilong Zhang, Yuanchao Bai, Deming Zhai, Junjun Jiang, Xianming Liu
- VCIP 2024
- Readers: Everyone
Everyone Counts: Fair and Accurate Heterogeneous Federated Learning with Resource-Adaptive Model Modulation
Feilong Zhang, Xianming Liu, Shiyi Lin, Xiong Zhou, Junjun Jiang, Xiangyang Ji
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji
- ICLR 2024 poster
- Readers: Everyone
Contraction and Alienation: Towards Theoretical Understanding of Non-Contrastive Learning with Neighbor-Averaging Dynamics
Xiong Zhou, Xianming Liu, Zeke Xie, Qing Ma, Feilong Zhang, Junjun Jiang, Xiangyang Ji
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Communication-Efficient Federated Learning via Gradient Distillation
Feilong Zhang, Xianming Liu, Shiyi Lin, Xiong Zhou, Junjun Jiang, Xiangyang Ji
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Large Sparse Kernels for Federated Learning
Feilong Zhang, Yinchuan Li, Shiyi Lin, yunfeng shao, Junjun Jiang, Xianming Liu
- 01 Mar 2023 (modified: 31 May 2023)
- Submitted to Tiny Papers @ ICLR 2023
- Readers: Everyone
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji
- ICML 2023 Poster
- Readers: Everyone

View all 14 publications