Navegação por Assunto "Edge Computing"
Resultados 1-3 de 3
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Analyzing Federated Learning Performance in Distributed Edge Scenarios
(2021) [Trabalho de conclusão de graduação]Federated learning is a machine learning paradigm where many clients cooperatively train a single centralized model while keeping their data private and decentralized. This novel paradigm imposes many challenges, such as ... -
A Framework for testing Federated Learning algorithms using an edge-like environment
(2023) [Trabalho de conclusão de graduação]Federated Learning [FL] is a machine learning paradigm where many clients coopera tively train a single centralized model while keeping their data private and decentralized. FL is commonly used in edge computing, which ... -
A model for distributed data aggregation in edge and cloud environments
(2018) [Dissertação]The Internet of Things generates each time larger amounts of data through devices that range from personal smartphones sensors to large scale smart cities sensor deployments. Edge Computing and Fog Computing hardware ...