I participate in a scientific initiation project at the Teleinformatics and Automation Group (GTA), at the Federal University of Rio de Janeiro (UFRJ), guided by professor Miguel Elias M. Campista. (Source: Lattes Curriculum)
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Federated learning's performance is affected by the time participants take to train models locally and submit them to the server. Thus, the main objective of this project is to analyze the influence of client selection on federated learning using the latency to respond to the server as a criterion. Thus, by distinguishing participants, we aim to reduce the impact of latecomers on the mode…
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