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The document presents a semi-synchronous federated learning protocol (Semi-SynFed) designed for Internet of Vehicles (IoV) systems to enhance machine learning performance. It addresses challenges such as high mobility and resource constraints by dynamically selecting nodes for aggregation and adjusting server waiting times, resulting in improved convergence speed and reduced resource consumption. Simulation results demonstrate that Semi-SynFed outperforms existing federated learning protocols in terms of ac

Author

pauruti100

Language

EN