2025
FedCRAC: Improving Federated Classification Performance on Long-Tailed Data via Classifier Representation Adjustment and Calibration.
IEEE Trans. Mob. Comput., January, 2025

2024
Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff.
IEEE Trans. Mob. Comput., December, 2024

Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems.
CoRR, 2024

Federated Class-Incremental Learning with New-Class Augmented Self-Distillation.
CoRR, 2024

Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration.
Proceedings of the IEEE INFOCOM 2024, 2024

2023
Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration.
CoRR, 2023

2021
Global Cyclic Queuing and Forwarding Mechanism for Large-Scale Deterministic Networks.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021