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
Motoharu Matsuura — most-cited papers & profile · Federated Learning
← authors
·
overview
Motoharu Matsuura
2
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration
2025
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
2024
Top co-authors
Faisal Ahmed
· 2
Hiroshi Hasegawa
· 2
Myungjin Lee
· 2
Suresh Subramaniam
· 2
and Shih-Chun Lin
· 1
Shao-Yu Lien
· 1
Shih-Chun Lin
· 1
Topics
Federated Learning
Communication
Data Heterogeneity
Edge Computing
Privacy