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Hanlin Gu — most-cited papers & profile · Federated Learning
← authors
·
overview
Hanlin Gu
27
papers ·
70
citations ·
1
h-index
Hong Kong University of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
2024 · 14 citations
Federated Deep Learning with Bayesian Privacy
2021 · 10 citations
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
2023 · 6 citations
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
2022 · 5 citations
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof
2023 · 5 citations
Grounding Foundation Models through Federated Transfer Learning: A General Framework
2023 · 5 citations
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
2024 · 5 citations
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data
2024 · 4 citations
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
2024 · 3 citations
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
2024 · 2 citations
Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
2024 · 1 citations
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
2024 · 1 citations
No Free Lunch Theorem for Security and Utility in Federated Learning
2022 · 1 citations
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders
2022 · 1 citations
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
2023 · 1 citations
Top co-authors
Lixin Fan
· 16
Qiang Yang
· 15
Gongxi Zhu
· 5
Yan Kang
· 5
Chee Seng Chan
· 3
Lixin Fan
· 3
Wenyuan Yang
· 3
Yuxing Han
· 3
Bowen Li
· 2
Jiahuan Luo
· 2
Kai Chen
· 2
Lixin Fan
· 2
Topics
Federated Learning
Privacy
Security
Optimization
Data Heterogeneity
Communication
Adversarial Attacks
Edge Computing