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Seohyeon Cha — most-cited papers & profile · Federated Learning
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Seohyeon Cha
3
papers ·
0
citations ·
2
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Most-cited papers
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
2026
GeFL: Model-Agnostic Federated Learning with Generative Models
2024
NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
2023
Top co-authors
Honggu Kang
· 2
Joonhyuk Kang
· 2
Dongjun Kim
· 1
Haoran Zhang
· 1
Haris Vikalo
· 1
Jinwoo Shin
· 1
Jongmyeong Lee
· 1
Topics
Federated Learning
Communication
Optimization
Data Heterogeneity
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