Global Cyclic Queuing and Forwarding Mechanism for Large-Scale Deterministic Networks. - Yijun Mo; Zihan Yang; Huiyu Liu; Tianliu He (HPCC/DSS/SmartCity/DependSys, 2021)

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration. - Zhiyuan Wu; Sheng Sun; Yuwei Wang 003; Min Liu 001; Bo Gao; Quyang Pan; Tianliu He; Xuefeng Jiang (CoRR, 2023)

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration. - Zhiyuan Wu; Sheng Sun; Yuwei Wang; Min Liu; Bo Gao; Quyang Pan; Tianliu He; Xuefeng Jiang (INFOCOM, 2024)

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation. - Zhiyuan Wu; Tianliu He; Sheng Sun; Yuwei Wang 003; Min Liu 001; Bo Gao; Xuefeng Jiang (CoRR, 2024)

Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems. - Zhiyuan Wu; Sheng Sun; Yuwei Wang 003; Min Liu 001; Bo Gao; Tianliu He; Wen Wang (CoRR, 2024)

Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff. - Sheng Sun; Zengqi Zhang; Quyang Pan; Min Liu 001; Yuwei Wang 003; Tianliu He; Yali Chen; Zhiyuan Wu (IEEE Trans. Mob. Comput., 2024)

FedCRAC: Improving Federated Classification Performance on Long-Tailed Data via Classifier Representation Adjustment and Calibration. - Xujing Li; Sheng Sun; Min Liu 001; Ju Ren 001; Xuefeng Jiang; Tianliu He (IEEE Trans. Mob. Comput., 2025)