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Dennis Grinwald

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Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstr.23, 10587 Berlin
https://www.tu.berlin/en/ml

© Grinwald

Dennis Grinwald

Doctoral Researcher

PhD project: Efficient and Robust Ensemble Learning

  • Deep Learning
  • Probabilistic Modelling
  • Explainable Artificial Intelligence

Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne

Visualizing the Diversity of Representations Learned by Bayesian Neural Networks

November 10, 2023
https://openreview.net/pdf?id=ZSxvyWrX6k

Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao

FedZero: Leveraging Renewable Excess Energy in Federated Learning

November 05, 2023
https://doi.org/10.1145/3632775.3639589

Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus-Robert Müller, Marina M.-C. Höhne

DORA: Exploring Outlier Representations in Deep Neural Networks

July 10, 2023
https://doi.org/10.48550/arXiv.2206.04530

News
Machine Learning| Mar 05, 2024

Sustainable Federated Learning

Federated Learning is expected to further increase the power consumption of machine learning, which is already recognized as one of the most energy-intensive computational applications today. However, due to its distributed nature, Federated Learning also offers new opportunities to align this demand with the availability of green energy.