Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (CoRR, 2021)

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jun Zhang 004 (ICC, 2022)

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. - Yuchang Sun 001; Jiawei Shao; Songze Li; Yuyi Mao; Jun Zhang 004 (ISIT, 2022)

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. - Jiawei Shao; Yuchang Sun 001; Songze Li; Jun Zhang 004 (NeurIPS, 2022)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (WCNC, 2022)

Probabilistic Device Scheduling for Over-the-Air Federated Learning. - Yuchang Sun 001; Zehong Lin; Yuyi Mao; Shi Jin 002; Jun Zhang 004 (ICCT, 2023)

DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning. - Wenqiang Sun; Sen Li; Yuchang Sun 001; Jun Zhang 004 (CoRR, 2023)

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. - Jiawei Shao; Zijian Li 023; Wenqiang Sun; Tailin Zhou; Yuchang Sun 001; Lumin Liu; Zehong Lin; Jun Zhang 004 (CoRR, 2023)

Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (IEEE Trans. Netw. Serv. Manag., 2023)

Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data. - Xiaolu Wang; Yuchang Sun 001; Hoi-To Wai; Jun Zhang 004 (CoRR, 2024)

Exploring Selective Layer Fine-Tuning in Federated Learning. - Yuchang Sun 001; Yuexiang Xie; Bolin Ding; Yaliang Li; Jun Zhang 004 (CoRR, 2024)

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. - Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Songze Li; Jun Zhang 004 (IEEE Trans. Wirel. Commun., 2024)

MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates. - Yuchang Sun 001; Yuyi Mao; Jun Zhang 004 (IEEE Trans. Mob. Comput., 2024)

Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning. - Yuchang Sun 001; Zehong Lin; Yuyi Mao; Shi Jin 002; Jun Zhang 004 (IEEE Trans. Wirel. Commun., 2024)

Feature Matching Data Synthesis for Non-IID Federated Learning. - Zijian Li 023; Yuchang Sun 001; Jiawei Shao; Yuyi Mao; Jessie Hui Wang; Jun Zhang 004 (IEEE Trans. Mob. Comput., 2024)

Learn How to Query from Unlabeled Data Streams in Federated Learning. - Yuchang Sun 001; Xinran Li; Tao Lin; Jun Zhang 003 (AAAI, 2025)

How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning. - Yuchang Sun 001; Marios Kountouris; Jun Zhang 004 (IEEE Trans. Mob. Comput., 2025)

Enhancing Latent Computation in Transformers with Latent Tokens. - Yuchang Sun 001; Yanxi Chen 001; Yaliang Li; Bolin Ding (CoRR, 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. - Wenhao Zhang; Yuexiang Xie; Yuchang Sun 001; Yanxi Chen 001; Guoyin Wang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)