Hanlin Gu
Orcid: 0000-0001-8266-4561
According to our database1,
Hanlin Gu
authored at least 32 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2018
2019
2020
2021
2022
2023
2024
2025
0
5
10
15
1
10
9
1
1
1
5
3
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
IEEE Trans. Dependable Secur. Comput., 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
ACM Trans. Intell. Syst. Technol., December, 2024
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
J. Comput. Sci. Technol., July, 2024
Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor.
CoRR, 2024
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models.
CoRR, 2024
CoRR, 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data.
CoRR, 2024
CoRR, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
ACM Trans. Intell. Syst. Technol., February, 2023
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning.
CoRR, 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework.
CoRR, 2023
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
CoRR, 2023
CoRR, 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR, 2023
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
CoRR, 2022
2021
2018
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018