PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks. - Qian Chen 032; Zilong Wang 001; Xiaodong Lin 001 (CoRR, 2021)

An Upper Bound of the Set Size of Perfect Sequences with Optimal Cross-correlation. - Zilong Wang 001; Qian Chen 032; Guang Gong (ISIT, 2022)

CFL: Cluster Federated Learning in Large-Scale Peer-to-Peer Networks. - Qian Chen 032; Zilong Wang 001; Yilin Zhou; Jiawei Chen 010; Dan Xiao; Xiaodong Lin 001 (ISC, 2022)

QP-LDP for better global model performance in federated learning. - Qian Chen 032; Zheng Chai; Zilong Wang 001; Jiawei Chen 010; Haonan Yan; Xiaodong Lin 001 (MSN, 2022)

LLDP: A Layer-wise Local Differential Privacy in Federated Learning. - Qian Chen 032; Hongbo Wang; Zilong Wang 001; Jiawei Chen 010; Haonan Yan; Xiaodong Lin 001 (TrustCom, 2022)

Communication-Efficient Cluster Federated Learning in Large-scale Peer-to-Peer Networks. - Yilin Zhou; Qian Chen 032; Zilong Wang 001; Dan Xiao; Jiawei Chen 010 (CoRR, 2022)

Accountable and Verifiable Secure Aggregation for Federated Learning in IoT Networks. - Xiaoyi Yang; Yanqi Zhao; Qian Chen 032; Yong Yu 002; Xiaojiang Du; Mohsen Guizani (IEEE Netw., 2022)

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks. - Haonan Yan; Wenjing Zhang 002; Qian Chen 032; Xiaoguang Li; Wenhai Sun; Hui Li 006; Xiaodong Lin 001 (NeurIPS, 2023)

PPT: A privacy-preserving global model training protocol for federated learning in P2P networks. - Qian Chen 032; Zilong Wang 001; Wenjing Zhang 002; Xiaodong Lin 001 (Comput. Secur., 2023)

FedDual: Pair-Wise Gossip Helps Federated Learning in Large Decentralized Networks. - Qian Chen 032; Zilong Wang 001; Hongbo Wang; Xiaodong Lin 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Dap-FL: Federated Learning Flourishes by Adaptive Tuning and Secure Aggregation. - Qian Chen 032; Zilong Wang 001; Jiawei Chen 010; Haonan Yan; Xiaodong Lin 001 (IEEE Trans. Parallel Distributed Syst., 2023)

PAGE: Equilibrate Personalization and Generalization in Federated Learning. - Qian Chen 032; Zilong Wang 001; Jiaqi Hu; Haonan Yan; Jianying Zhou 001; Xiaodong Lin 001 (WWW, 2024)

QP-LDP for Better Global Model Performance in Federated Learning. - Qian Chen 032; Zheng Chai; Zilong Wang 001; Haonan Yan; Xiaodong Lin 001; Jianying Zhou 001 (IEEE Internet Things J., 2024)

CODER: Protecting Privacy in Image Retrieval With Differential Privacy. - Haonan Yan; Xiaoguang Li; Wenjing Zhang 002; Qian Chen 032; Bin Wang 062; Hui Li 006; Xiaodong Lin 001 (IEEE Trans. Dependable Secur. Comput., 2024)

A Proactive Defense Against Model Poisoning Attacks in Federated Learning. - Haonan Yan; Chengbo Zheng; Qian Chen 032; Xiaoguang Li; Bin Wang 062; Hui Li 006; Xiaodong Lin 001 (IEEE Trans. Dependable Secur. Comput., 2025)

DP-DID: A Dynamic and Proactive Decentralized Identity System. - Jie Yin; Yang Xiao 014; Qian Chen 032; Yong Zhi Lim; Xuefeng Liu 002; Qingqi Pei; Jianying Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2025)

DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System. - Qian Chen 032; Zilong Wang 001; Mengqing Yan; Haonan Yan; Xiaodong Lin 001; Jianying Zhou 001 (IEEE Trans. Serv. Comput., 2025)