Yi Liu
Orcid: 0000-0002-0811-6150Affiliations:
- City University of Hong Kong
- Monash University, Faculty of Information Technology, Melbourne, Australia
- Heilongjiang University, School of Data Science and Technology, Harbin, China (former)
According to our database1,
Yi Liu
authored at least 23 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization.
IEEE Trans. Dependable Secur. Comput., 2023
2022
Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things.
ACM Trans. Internet Techn., 2022
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis.
IEEE Trans. Netw. Sci. Eng., 2022
Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things.
IEEE Trans. Netw. Sci. Eng., 2022
Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories.
IEEE Trans. Intell. Transp. Syst., 2022
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining.
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms.
IEEE Internet Things J., 2021
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach.
IEEE Internet Things J., 2021
Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
2020
Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation.
IEEE Internet Things J., 2020
IEEE Internet Things J., 2020
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System.
CoRR, 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions.
CoRR, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020
2019
CoRR, 2019
Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting.
IEEE Access, 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019