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Qing Ye — most-cited papers & profile · Large Language Models
← authors
·
overview
Qing Ye
14
papers ·
40
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
2023 · 5 citations
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg
2022 · 2 citations
Personalized Federated Learning with Hidden Information on Personalized Prior
2022 · 2 citations
ForgeVLA: Federated Vision-Language-Action Learning without Language Annotations
2026
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
2025
E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing
2025
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
2023
Federated cINN Clustering for Accurate Clustered Federated Learning
2023
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
2024
Top co-authors
Chunlei Xin
· 1
Hongyu Lin
· 1
Le Sun
· 1
Qianlong Xie
· 1
Qingyu Zhang
· 1
Xianpei Han
· 1
Xingxing Wang
· 1
Xuanang Chen
· 1
Yaojie Lu
· 1
Topics
Federated Learning
Privacy
cs.AI
Communication
cs.CV
cs.LG
Data Heterogeneity