Our submission to DAC 2025, "FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA", authored by Joonseok Kim and Donggyu Kim has been accepted.
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작성자 최고관리자 댓글 0건 조회 660회 작성일 25-02-01 19:40본문
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.
- 이전글Our submission to DAC 2025, "Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation", authored by Hyeonwoo Park has been accepted. 25.03.25
- 다음글Our submission to DATE 2025, "Improving LLM-based Verilog Code Generation with Data Augmentation and RL", authored by Kyunjun Min and Seonghyeon Park has been accepted. 24.11.01
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