Seohyeon Cha

According to our database, Seohyeon Cha authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

NeFL: Nested Model Scaling for Federated Learning With System Heterogeneous Clients.

Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang

IEEE Trans. Mob. Comput., August, 2025

Batching-Aware Joint Model Onloading and Offloading for Hierarchical Multi-Task Inference.

Seohyeon Cha, Kevin Chan, Gustavo de Veciana, Haris Vikalo

CoRR, August, 2025

2024

GeFL: Model-Agnostic Federated Learning with Generative Models.

Honggu Kang, Seohyeon Cha, Joonhyuk Kang

CoRR, 2024

2023

On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction.

Seohyeon Cha, Honggu Kang, Joonhyuk Kang

CoRR, 2023

NeFL: Nested Federated Learning for Heterogeneous Clients.

Honggu Kang, Seohyeon Cha, Jinwoo Shin, Jongmyeong Lee, Joonhyuk Kang

CoRR, 2023