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Hiroshi Hasegawa — most-cited papers & profile · Federated Learning
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Hiroshi Hasegawa
2
papers ·
0
citations
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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
Motoharu Matsuura
· 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