Federated learning for autonomous driving – Complete Phd and Masters Thesis
[ad_1] Introduction Federated learning has emerged as a promising approach to train machine learning models across decentralized networks of devices such as smartphones, edge servers, and autonomous vehicles. This distributed learning paradigm enables collaborative model…
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