Seohyeon Cha

According to our database, Seohyeon Cha authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

GeFL: Model-Agnostic Federated Learning With Generative Models.

Honggu Kang, Seohyeon Cha, Joonhyuk Kang

IEEE Trans. Mob. Comput., April, 2026

Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback.

Haoran Zhang, Seohyeon Cha, Hasan Burhan Beytur, Kevin S. Chan, Gustavo de Veciana, Haris Vikalo

CoRR, March, 2026

FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA.

Haoran Zhang, Dongjun Kim, Seohyeon Cha, Haris Vikalo

CoRR, February, 2026

Regularized Calibration with Successive Rounding for Post-Training Quantization.

Seohyeon Cha, Huancheng Chen, Dongjun Kim, Haoran Zhang, Kevin S. Chan, Gustavo de Veciana, Haris Vikalo

CoRR, February, 2026

2025

Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection.

Seohyeon Cha, Huancheng Chen, Haris Vikalo

CoRR, September, 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

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