Predictive maintenance of truck fleets requires federated on-vehicle training of models to benefit from collective maintenance experiences.
Data challenges
Gathering data from entire truck fleets is costly and challenging due to regulatory constraints, connectivity issues, and the vast amount of data produced.
Federated learning
Federated Learning solves these issues by enabling on-vehicle machine learning model training, allowing each truck to learn from the maintenance data of the entire fleet without the need for data transfer.
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