EasyQuant: Post-training Quantization via Scale Optimization. - Di Wu 065; Qi Tang; Yongle Zhao; Ming Zhang; Ying Fu 001; Debing Zhang (CoRR, 2020)

FedFly: Towards Migration in Edge-based Distributed Federated Learning. - Rehmat Ullah 001; Di Wu 065; Paul Harvey 002; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (CoRR, 2021)

FedComm: Understanding Communication Protocols for Edge-based Federated Learning. - Gary Cleland; Di Wu 065; Rehmat Ullah 001; Blesson Varghese (UCC, 2022)

FedFly: Toward Migration in Edge-Based Distributed Federated Learning. - Rehmat Ullah 001; Di Wu 065; Paul Harvey 002; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (IEEE Commun. Mag., 2022)

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning. - Di Wu 065; Rehmat Ullah 001; Paul Harvey 002; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (IEEE Internet Things J., 2022)

Communication Efficient DNN Partitioning-based Federated Learning. - Di Wu 065; Rehmat Ullah 001; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (CoRR, 2023)

EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning. - Di Wu 065; Rehmat Ullah 001; Philip Rodgers; Peter Kilpatrick; Ivor T. A. Spence; Blesson Varghese (IEEE Trans. Parallel Distributed Syst., 2024)

FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning. - Zhenyu Wen; Wanglei Feng; Di Wu 065; Haozhen Hu; Chang Xu; Bin Qian 002; Zhen Hong; Cong Wang 006; Shouling Ji (KDD (1), 2025)

Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning. - Bin Qian 002; Yubo Xuan; Di Wu 065; Zhenyu Wen; Renyu Yang; Shibo He; Jiming Chen 001; Rajiv Ranjan 001 (IEEE Netw., 2025)

EMO: Edge Model Overlays to Scale Model Size in Federated Learning. - Di Wu 065; Weibo He; Wanglei Feng; Zhenyu Wen; Bin Qian 002; Blesson Varghese (CoRR, 2025)