Hanlin Gu
10 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🤝
Dynamic Duo
(10)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Learning Paradigms · Artificial Intelligence
(8)
Application Areas
(7)
Learning Paradigms · Machine Learning
(4)
Deep Learning
(3)
Security & Privacy
(3)
Optimization & Theory
(3)
Core AI
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Privacy
(2)
Natural Language Processing
(1)
Architectures
(1)
Keywords
federated learning
(7)
right to be forgotten
(2)
large language model
(2)
knowledge distillation
(2)
small language model
(2)
machine unlearning
(1)
feature space
(1)
continual learning
(1)
privacy preserving
(1)
optimal control
(1)
feature learning
(1)
backdoor attack
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
influence function
(1)
synthetic data generation
(1)
privacy-utility trade-off
(1)
feature unlearning
(1)
gradient norm
(1)
deep learning
(1)
Papers
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients
AAAI 2026
PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data
CVPR 2026
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
COLING 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
ECCV 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
NeurIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
IJCAI 2023