17 citations · 45 across the 6 of their papers we have counts for
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cs.LG2022★ 8 cited
Personalized Federated Learning with Multi-branch Architecture
Junki Mori, Tomoyuki Yoshiyama, Furukawa Ryo +1
Federated learning (FL) is a decentralized machine learning technique that enables multiple clients to collaboratively train models without requiring clients to reveal their raw da…
cs.LG2022★ 15 cited
Continual Horizontal Federated Learning for Heterogeneous Data
Junki Mori, Isamu Teranishi, Ryo Furukawa
Federated learning is a promising machine learning technique that enables multiple clients to collaboratively build a model without revealing the raw data to each other. Among vari…