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FLEXE: Investigating Federated Learning in Connected Autonomous Vehicle Simulations.

, , , , , и . VTC Fall, стр. 1-5. IEEE, (2022)

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D Costa

Afonso da Costa

Alvaro Filipe da Costa

D B Jones

Carlos Alberto da Costa Dias

 

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EntropicFL: Efficient Federated Learning via Data Entropy and Model Divergence., , , и . UCC, стр. 55. ACM, (2023)Efficient data dissemination protocol based on complex networks' metrics for urban vehicular networks., , , , и . J. Internet Serv. Appl., 10 (1): 15:1-15:13 (2019)Combinatorial Optimization-based Task Allocation Mechanism for Vehicular Clouds., , , и . VTC Spring, стр. 1-5. IEEE, (2020)Alocação de Tarefas em Nuvens Veiculares Utilizando Jogos de Mercado., , , , , и . SBRC, стр. 210-223. (2022)A Modular Plugin for Concept Drift in Federated Learning., , , , и . DCOSS-IoT, стр. 101-108. IEEE, (2024)Mobility-aware Vehicular Cloud formation mechanism for Vehicular Edge Computing environments., , , , , , и . Ad Hoc Networks, (декабря 2023)Efficient Pareto Optimality-based Task Scheduling for Vehicular Edge Computing., , , , и . VTC Fall, стр. 1-6. IEEE, (2022)Escalonamento de Tarefas Ciente de Contexto para Computação de Borda Veicular., , , , , и . SBRC, стр. 15-28. (2022)NEMESIS: Mecanismo para Formação de Nuvens Veiculares Baseado em Previsão de Mobilidade., , , , , и . SBRC, стр. 280-293. (2022)Improving Fairness and Performance in Resource Usage for Vehicular Edge Computing., , , , , и . VTC Fall, стр. 1-6. IEEE, (2023)