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Dr. Lauritz Thamsen

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University of Glasgow

Dr. Lauritz Thamsen

External Partner

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

Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao

Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads

August 01, 2022
https://doi.org/10.1007/978-3-031-12597-3_14

Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kordian Gontarska, Lauritz Thamsen

Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud

October 25, 2021
https://doi.org/10.48550/arXiv.2110.13234

Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen

Evaluation of Load Prediction Techniques for Distributed Stream Processing

August 10, 2021
https://doi.org/10.48550/arXiv.2108.04749

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.