Data-Driven Automotive Development: Federated Reinforcement Learning for Calibration and Control
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Springer Fachmedien Wiesbaden
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https://link.springer.com/content/pdf/10.1007/978-3-658-37009-1_26
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2. Puccetti, L., Yasser, A., Rathgeber, C., et al.: Speed tracking control using model-based reinforcement learning in a real vehicle. 2021 IEEE Intelligent Vehicles Symposium (IV), pp. 1213–1219 (2021). https://doi.org/10.1109/IV48863.2021.9576031
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4. Kairouz, P., McMahan, H.B., Avent, B., et al.: Advances and open problems in federated learning. arXiv:1912.04977 [cs, stat] (2021)
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