Guaranteed distributed machine learning: Privacy-preserving empirical risk minimization

by Kwabena Owusu-Agyemang, Zhen Qin, Appiah Benjamin, Hu Xiong, Zhiguang Qin
Published 2021-06-01

Insuring against the perils in distributed learning: privacy-preserving empirical risk minimization

by Kwabena Owusu-Agyemang, Zhen Qin, Appiah Benjamin, Hu Xiong, Zhiguang Qin
Published 2021-04-01

Multi-Class Triplet Loss With Gaussian Noise for Adversarial Robustness

by Benjamin Appiah, Edward Y. Baagyere, Kwabena Owusu-Agyemang, Zhiguang Qin, Muhammed Amin Abdullah
Published 2020-01-01