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

no code implementations • 29 Apr 2022 • Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albasser, Kashif Ahmad, Mohamed Abdallah, Ala Al-Fuqaha

The remaining cluster with surviving clients is then used for training the best FL model (i. e., remaining FL model).

Federated Learning

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning

no code implementations • 16 Nov 2020 • Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani

In this work, we solve the problem of optimizing accuracy in stateful FL with a budgeted number of candidate clients by selecting the best candidate clients in terms of test accuracy to participate in the training process.

Federated Learning