Hanlin Gu
9 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (11) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(18)
Conferences
CVPR (2)
IJCAI (2)
AAAI (1)
COLING (1)
ECCV (1)
EMNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
federated learning
(7)
knowledge distillation
(2)
right to be forgotten
(2)
small language model
(2)
large language model
(2)
machine unlearning
(1)
deep learning
(1)
privacy preserving
(1)
feature space
(1)
backdoor attack
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
gradient norm
(1)
influence function
(1)
feature unlearning
(1)
feature sensitivity
(1)
vertical federated learning
(1)
non-iid datum
(1)
privacy protection
(1)
client-server architecture
(1)
Papers
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients
AAAI 2026
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 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
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
NIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
IJCAI 2023