Conference
CAD & SoC Design Laboratory

Conference

FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA
Author JoonSeok Kim*, Donggyu Kim*, Seonghyeon Park, and Seokhyeong Kang
Journal ACM/IEEE Design Automation Conference (DAC)
Impact factor
Year 2025
Category
File 첨부 2025_DAC_JSK_Paper.pdf (709.2K) 51회 다운로드 DATE : 2025-08-01 15:51:16
File 첨부 2025_DAC_JSK_Slide.pdf (4.3M) 37회 다운로드 DATE : 2025-08-01 15:51:16
Link 관련링크 https://ieeexplore.ieee.org/abstract/document/11132983?casa_token=eHcO… 138회 연결

Our submission to DAC 2025, "FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA" authored by JoonSeok Kim*, Donggyu Kim*, Seonghyeon Park, and Seokhyeong Kang has been accepted.