no code implementations • 4 Apr 2022 • Christoph Wehner, Francis Powlesland, Bashar Altakrouri, Ute Schmid
The core implementation includes consuming live data from a digital twin on a German highway, live predictions and explanations of lane changes by extending LRP to layer normalized LSTMs, and an interface for communicating and explaining the predictions to a human user.
no code implementations • 25 Feb 2022 • Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schopp, Matthias Buchinger
Federated Learning (FL) is a novel paradigm for the shared training of models based on decentralized and private data.