Fleet learning is a project in collaboration with Zenseact and Volvo. They use federated learning technology to train ML models on cars all around the world.
Repo: https://github.com/gusjak251/fleet-learning-young-talents
Our main mission is to utilize metadata from images taken by these cars, to find potential bias in training data which is inputted into an ML model. We will also research and investigate different client selection strategies, to find out which ones could be useful for this specific project.
Data
Automotive
IT & Software
Smarter Product or Service
Experimenter
Optimization
Image Analysis
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Fleet Learning Örebro
Project
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