Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence

20 July 2024

Papers citing "Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence"

6 / 6 papers shown

Title
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 64 0 0 15 Dec 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 37 1 0 29 Jul 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 36 13 0 12 Dec 2023
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning Md Tamjid Hossain Shafkat Islam S. Badsha Haoting Shen AAML 48 41 0 21 Sep 2021
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 134 416 0 29 Nov 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 175 1,182 0 30 Nov 2014