Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data

no code implementations • 30 Mar 2022 • Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen

To further strengthen the results, we co-design a customized ML model FLNet and its personalization under the decentralized training scenario.

Federated Learning

The Dark Side: Security Concerns in Machine Learning for EDA

no code implementations • 20 Mar 2022 • Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Yiran Chen

The growing IC complexity has led to a compelling need for design efficiency improvement through new electronic design automation (EDA) methodologies.

BIG-bench Machine Learning

Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation

no code implementations • 9 Jul 2021 • Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo

Moreover, the design houses are also unwilling to directly share such data with the other houses to build a unified model, which can be ineffective for the design house with unique design patterns due to data insufficiency.

Federated Learning

Automatic Routability Predictor Development Using Neural Architecture Search

no code implementations • 3 Dec 2020 • Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chun-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen

The rise of machine learning technology inspires a boom of its applications in electronic design automation (EDA) and helps improve the degree of automation in chip designs.

BIG-bench Machine Learning Neural Architecture Search