Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise

29 November 2022

Papers citing "Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise"

7 / 7 papers shown

Title
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Z. Zhu Y. Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values Yunbo Li Jiaping Gui Yue Wu FedML 50 1 0 17 Mar 2025
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation Xianzhi Zhang Yipeng Zhou Miao Hu Di Wu Pengshan Liao Mohsen Guizani Michael Sheng 62 0 0 04 Dec 2024
Masked Differential Privacy David Schneider Sina Sajadmanesh Vikash Sehwag Saquib Sarfraz Rainer Stiefelhagen Lingjuan Lyu Vivek Sharma 28 0 0 22 Oct 2024
Single-cell Curriculum Learning-based Deep Graph Embedding Clustering Huifa Li Jie Fu Xinpeng Ling Zhiyu Sun Kuncan Wang Zhili Chen 21 0 0 20 Aug 2024
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering Huifa Li Jie Fu Zhili Chen Xiaomin Yang Haitao Liu Xinpeng Ling 19 1 0 06 Nov 2023
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations Xinpeng Ling Jie Fu Kuncan Wang Haitao Liu Zhili Chen FedML 26 2 0 21 Aug 2023