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Shenghui Song — most-cited papers & profile · Federated Learning
← authors
·
overview
Shenghui Song
15
papers ·
24
citations ·
31
h-index
Hong Kong University of Science and Technology · University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design
2021 · 8 citations
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence
2022 · 4 citations
Fairness-aware Federated Minimax Optimization with Convergence Guarantee
2023 · 2 citations
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization
2024 · 2 citations
FedDQ: Communication-Efficient Federated Learning with Descending Quantization
2021 · 1 citations
Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function
2023 · 1 citations
Binary Federated Learning with Client-Level Differential Privacy
2023 · 1 citations
Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks
2024 · 1 citations
FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation
2025
The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning
2025
How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels
2023
FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning
2023
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
2024
Top co-authors
Linping Qu
· 4
Chi-Ying Tsui
· 3
Jun Zhang
· 3
Khaled B. Letaief
· 3
and Chi-Ying Tsui
· 2
Lumin Liu
· 2
Zhijie Xie
· 2
and Yuyi Mao
· 1
Gerry Windiarto Mohamad Dunda
· 1
Hengtao He
· 1
Ho Man Kwan
· 1
Linping Qu
· 1
Topics
Federated Learning
Communication
Privacy
Optimization
Data Heterogeneity
Edge Computing