Federated learning: Applications, challenges and future directions

18 May 2022

Papers citing "Federated learning: Applications, challenges and future directions"

5 / 5 papers shown

Title
Secure Visual Data Processing via Federated Learning Pedro Santos Tânia Carvalho Filipe Magalhães Luís Antunes FedML 51 0 0 09 Feb 2025
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucía Morris Tori Qiu Nikhil Raghuraman 17 0 0 22 Aug 2023
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 164 1,690 0 18 Mar 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 19 22 0 25 Feb 2020
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 131 35 0 26 Apr 2018