Awesome Federated Learning
📄
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
Rick Siow Mong Goh — most-cited papers & profile · Federated Learning
← authors
·
overview
Rick Siow Mong Goh
15
papers ·
47
citations ·
37
h-index
Agency for Science, Technology and Research · Institute of High Performance Computing
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
2020 · 7 citations
Rethinking Client Drift in Federated Learning: A Logit Perspective
2023 · 6 citations
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
2024 · 2 citations
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
2025
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
2020
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
2023
Top co-authors
Chun-Mei Feng
· 2
Renuga Kanagavelu
· 2
Yunlu Yan
· 2
Zengxiang Li
· 2
C. L. Philip Chen
· 1
Danni Peng
· 1
Feng Yang
· 1
Huafei Zhu
· 1
Huazhu Fu
· 1
Huazhu Fu
· 1
Jinpeng Jiang
· 1
Juniarto Samsudin
· 1
Topics
Federated Learning
Data Heterogeneity
Privacy
Communication
Security
Encryption
Edge Computing