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Tony Q. S. Quek — most-cited papers & profile · Federated Learning
← authors
·
overview
Tony Q. S. Quek
20
papers ·
133
citations ·
80
h-index
Singapore University of Technology and Design
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
2019 · 88 citations
On Safeguarding Privacy and Security in the Framework of Federated Learning
2019 · 17 citations
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
2021 · 3 citations
Towards Federated Long-Tailed Learning
2022 · 3 citations
Dynamic Attention-based Communication-Efficient Federated Learning
2021 · 2 citations
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
2024 · 1 citations
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
2022 · 1 citations
Differentially Private Federated Clustering over Non-IID Data
2023 · 1 citations
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks
2023 · 1 citations
Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems
2025
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
2024
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
2022
Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence
2023
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning
2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
2023
Top co-authors
Howard H. Yang
· 8
H. Vincent Poor
· 4
Shuai Wang
· 3
Zihan Chen
· 3
Chaoqun You
· 2
Chuan Ma
· 2
Jun Li
· 2
Kai Fong Ernest Chong
· 2
Kun Guo
· 2
Ming Ding
· 2
Yiwei Li
· 2
Zuozhu Liu
· 2
Topics
Federated Learning
Privacy
Communication
Optimization
Data Heterogeneity
Security
Adversarial Attacks
Edge Computing