PerfNetRT: Platform-Aware Performance Modeling for Optimized Deep Neural Networks. - Ying-Chiao Liao; Chuan-Chi Wang; Chia-Heng Tu; Ming-Chang Kao; Wen-Yew Liang; Shih-Hao Hung (ICS, 2020)

Performance Analysis and Optimization for Federated Learning Applications with PySyft-based Secure Aggregation. - Po-Sheng Lin; Ming-Chang Kao; Wen-Yew Liang; Shih-Hao Hung (ICS, 2020)

PerfNet: Platform-Aware Performance Modeling for Deep Neural Networks. - Chuan-Chi Wang; Ying-Chiao Liao; Ming-Chang Kao; Wen-Yew Liang; Shih-Hao Hung (RACS, 2020)

Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks. - Chuan-Chi Wang; Ying-Chiao Liao; Ming-Chang Kao; Wen-Yew Liang; Shih-Hao Hung (CoRR, 2020)

ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks. - Chuan-Chi Wang; Ying-Chiao Liao; Chia-Heng Tu; Ming-Chang Kao; Wen-Yew Liang; Shih-Hao Hung (CoRR, 2020)

TensorHE: a homomorphic encryption transformer for privacy-preserving deep learning. - Chuan-Chi Wang; Chia-Heng Tu; Ming-Chang Kao; Shih-Hao Hung (RACS, 2022)