ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme

5 November 2022

Papers citing "ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme"

7 / 7 papers shown

Title
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? Yongsheng Mei Liangqi Yuan Dong-Jun Han Kevin S. Chan Christopher G. Brinton Tian-Shing Lan 38 0 0 10 Nov 2024
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach Maryam Ben Driss Essaid Sabir H. Elbiaze Abdoulaye Baniré Diallo M. Sadik 23 1 0 16 Sep 2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning M. Chahoud Hani Sami Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 29 0 0 12 May 2024
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication M. Wazzeh Mohamad Arafeh Hani Sami Hakima Ould-Slimane C. Talhi Azzam Mourad Hadi Otrok FedML 26 3 0 12 May 2024
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning M. Chahoud Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 23 1 0 01 May 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
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 168 564 0 27 Jul 2020