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Akihito Taya — most-cited papers & profile · Federated Learning
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Akihito Taya
4
papers ·
1
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective
2026
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
2021
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
2023
Top co-authors
Kaoru Sezaki
· 2
Yuuki Nishiyama
· 2
Koji Yamamoto
· 1
Masahiro Morikura
· 1
Takayuki Nishio
· 1
Topics
Federated Learning
Optimization
Edge Computing
Data Heterogeneity
Communication