Federated Learning for Big Data: A Survey on Opportunities,
Applications, and Future Directions

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions

8 October 2021

Thippa Reddy Gadekallu

Thien Huynh-The

S. Bhattacharya

Praveen Kumar Reddy Maddikunta

Madhusanka Liyanage

Papers citing "Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions"

7 / 7 papers shown

Title
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 28 7 0 07 Dec 2023
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 33 10 0 08 Nov 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 44 211 0 14 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 150 269 0 14 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 564 0 27 Jul 2020
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 174 1,703 0 18 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 191 433 0 04 Mar 2020