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Yongxin Tong β most-cited papers & profile Β· Graph Learning
β authors
Β·
overview
Yongxin Tong
20
papers Β·
612
citations Β·
0
h-index
Beihang University
Google Scholar β
Semantic Scholar β
OpenAlex β
Most-cited papers
Federated Machine Learning: Concept and Applications
2019 Β· 611 citations
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
2023 Β· 1 citations
MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents
2026
Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning
2026
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
2026
Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models
2026
CAFEDistill: Learning Personalized and Dynamic Models through Federated Early-Exit Network Distillation
2026
GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning
2026
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data
2025
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
2025
Ten Challenging Problems in Federated Foundation Models
2025
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning
2024
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
2024
Topics
Federated Learning
cs.LG
Privacy
cs.AI
Data Heterogeneity
Encryption
Memory
Code Agents
Browser Agents
cs.CV