1 code implementation • CVPR 2023 • Fatih Ilhan, Gong Su, Ling Liu
In most FL approaches, all edge clients are assumed to have sufficient computation capabilities to participate in the learning of a deep neural network (DNN) model.
1 code implementation • 2 Jul 2021 • Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
This paper presents a gradient leakage resilient approach to privacy-preserving federated learning with per training example-based client differential privacy, coined as Fed-CDP.
1 code implementation • 19 Aug 2020 • Tian Jin, Gheorghe-Teodor Bercea, Tung D. Le, Tong Chen, Gong Su, Haruki Imai, Yasushi Negishi, Anh Leu, Kevin O'Brien, Kiyokuni Kawachiya, Alexandre E. Eichenberger
Deep neural network models are becoming increasingly popular and have been used in various tasks such as computer vision, speech recognition, and natural language processing.