Exploration and exploitation in federated learning to exclude clients with poisoned data

S Tabatabai, I Mohammed, B Qolomany… - 2022 International …, 2022 - ieeexplore.ieee.org
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning
(ML) in a distributed manner without directly accessing private data on clients. How-ever, FL …
被引用次数：5 相关文章
[PDF] researchgate.net

[PDF][PDF] Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data

S Tabatabai, I Mohammed, B Qolomany, A Albasser… - researchgate.net
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning
(ML) in a distributed manner without directly accessing private data on clients. However, FL …

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data

S Tabatabai, I Mohammed… - 18th IEEE …, 2022 - experts.nebraska.edu
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning
(ML) in a distributed manner without directly accessing private data on clients. How-ever, FL …

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data

S Tabatabai, I Mohammed, B Qolomany… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning
(ML) in a distributed manner without directly accessing private data on clients. However, FL …

Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data

S Tabatabai, I Mohammed, B Qolomany… - arXiv preprint arXiv …, 2022 - arxiv.org
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning
(ML) in a distributed manner without directly accessing private data on clients. However, FL …