Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Tony Q. S. Quek — most-cited papers & profile · Large Language Models
← authors
·
overview
Tony Q. S. Quek
8
papers ·
0
citations ·
80
h-index
Singapore University of Technology and Design
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Federated Fine-Tuning Paradigm of Foundation Models in Heterogenous Wireless Networks
2025
Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT
2025
Multi-Armed Bandit Based Client Scheduling for Federated Learning
2020
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching
2021
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching
2021
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks
2022
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework
2023
Top co-authors
and Changchuan Yin
· 1
Mingzhe Chen
· 1
Nuocheng Yang
· 1
Ouwen Huan
· 1
Sihua Wang
· 1
Topics
Federated Learning
Optimization
Communication
Edge Computing
Data Heterogeneity
Privacy
Policy Gradient
Safe RL