Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

2 July 2020

Papers citing "Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy"

7 / 7 papers shown

Title
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 23 93 0 15 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Peter E. D. Love Weili Fang J. Matthews Stuart Porter Hanbin Luo L. Ding XAI 29 7 0 12 Nov 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 41 91 0 05 Aug 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang Weirui Kuang Yuexiang Xie Liuyi Yao Yaliang Li Bolin Ding Jingren Zhou FedML 13 77 0 12 Apr 2022
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering Mohsen Ahmadi Ali Taghavirashidizadeh D. Javaheri Armin Masoumian Saeid Jafarzadeh Ghoushchi Y. Pourasad FedML 27 60 0 07 Nov 2021
Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges Bin Jiang Jianqiang Li Guanghui Yue H. Song 25 117 0 26 Jan 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 179 1,032 0 29 Nov 2018