Peishen Yan

According to our database, Peishen Yan authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning.

Peishen Yan, Yang Hua, Hao Wang, Jiaru Zhang, Xiaoyu Wu, Tao Song, Haibing Guan

CoRR, March, 2026

FWeb3: A Practical Incentive-Aware Federated Learning Framework.

Peishen Yan, Shuang Liang, Yang Hua, Linshan Jiang, Kuai Yu, Yulin Sun, Yaozhi Zhang, Tao Song, Ningxin Hu, Xinran Liang, Bingsheng He, Haibing Guan

CoRR, March, 2026

SettleFL: Trustless and Scalable Reward Settlement Protocol for Federated Learning on Permissionless Blockchains (Extended version).

Shuang Liang, Yang Hua, Linshan Jiang, Peishen Yan, Tao Song, Bin Yao, Haibing Guan

CoRR, February, 2026

2025

POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning.

Kuai Yu, Xiaoyu Wu, Peishen Yan, Qingqian Yang, Linshan Jiang, Hao Wang, Yang Hua, Tao Song, Haibing Guan

CoRR, October, 2025

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding.

Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan

CoRR, January, 2025

Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-Wise Gradient Alignment.

Qingqian Yang, Peishen Yan, Xiaoyu Wu, Jiaru Zhang, Tao Song, Yang Hua, Hao Wang, Liangliang Wang, Haibing Guan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

OFL-W3: A One-shot Federated Learning System on Web 3.0.

Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song

Proc. VLDB Endow., August, 2024

SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks.

Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan

Proceedings of the Computer Vision - ECCV 2024, 2024