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Hiro Ishii — most-cited papers & profile · Federated Learning
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Hiro Ishii
2
papers ·
0
citations
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Most-cited papers
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters
2025
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
2024
Top co-authors
Kenta Niwa
· 2
Rio Yokota
· 2
Aashiq Muhamed
· 1
Akinori Fujino
· 1
Andrey Barsky
· 1
Antti Honkela
· 1
Aur\'elie Joseph
· 1
Dimosthenis Karatzas
· 1
Ernest Valveny
· 1
Hiroshi Sawada
· 1
Iifan Tyou
· 1
Joonas J\"alk\"o
· 1
Topics
Federated Learning
Optimization
Data Heterogeneity
Privacy
Communication