FedFaSt: Selective Federated Learning Using Fittest Parameters Aggregation and Slotted Clients Training - researchr publication authors

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Ferdinand Kahenga, Antoine B. Bagula, Sajal K. Das. FedFaSt: Selective Federated Learning Using Fittest Parameters Aggregation and Slotted Clients Training. In IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, December 4-8, 2023. pages 3879-3884, IEEE, 2023. [doi]

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