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Dennis Grinwald


Technische Universität Berlin
Probabilistic Modeling and Inference

Marchstr.23, 10587 Berlin

© Grinwald

Dennis Grinwald

Doctoral Researcher

PhD project: Efficient and Robust Ensemble Learning

  • Deep Learning
  • Probabilistic Modelling
  • Explainable Artificial Intelligence

Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima

Solution Simplex Clustering for Heterogeneous Federated Learning

March 05, 2024

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

Visualizing the Diversity of Representations Learned by Bayesian Neural Networks

November 10, 2023

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

FedZero: Leveraging Renewable Excess Energy in Federated Learning

November 05, 2023

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

DORA: Exploring Outlier Representations in Deep Neural Networks

July 10, 2023

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.