Tao Fan
9 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(6)
Core AI
(5)
Application Areas
(4)
Learning Paradigms · Artificial Intelligence
(4)
Deep Learning
(3)
Natural Language Processing
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Security & Privacy
(1)
Applications
(1)
Core Methods
(1)
Differential Privacy
(1)
Learning Types · Machine Learning
(1)
Keywords
large language model
(5)
federated learning
(4)
knowledge distillation
(3)
small language model
(3)
scaling law
(2)
privacy protection
(2)
retrieval-augmented generation
(2)
model compression
(2)
synthetic data generation
(1)
model pruning
(1)
collaborative learning
(1)
data heterogeneity
(1)
language model
(1)
parameter-efficient fine-tuning
(1)
inference optimization
(1)
time series representation
(1)
time series representation learning
(1)
cost efficiency
(1)
multi-agent system
(1)
chain-of-thought distillation
(1)
Papers
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
ACL 2026
InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling
ACL 2026
Inference Scaling Law for Retrieval Augmented Generation
AAAI 2026
The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG
ACL 2026
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
COLING 2025
MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning
ACL 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
EMNLP 2025
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection
JMLR 2021