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Quan Z. Sheng — most-cited papers & profile · Federated Learning
← authors
·
overview
Quan Z. Sheng
20
papers ·
711
citations ·
67
h-index
Macquarie University
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Communication Efficiency in Federated Learning: Achievements and Challenges
2021 · 51 citations
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
2023 · 41 citations
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
2023 · 1 citations
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy
2024 · 1 citations
Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation
2025
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
2024
A Survey on Participant Selection for Federated Learning in Mobile Networks
2022
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
2023
PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
2024
Top co-authors
Yipeng Zhou
· 4
Reza M. Parizi
· 3
Seyedamin Pouriyeh
· 3
Laizhong Cui
· 2
Meng Han
· 2
Adnan Mahmood
· 1
Behnaz Soltani
· 1
Daniel Mac\^edo Batista
· 1
Di Wu
· 1
Di Wu
· 1
Fatemeh Mosaiyebzadeh
· 1
Gautam Srivastava
· 1
Topics
Privacy
Federated Learning
Communication
Optimization