FedZero: Leveraging Renewable Excess Energy in Federated Learning

FedZero: Leveraging Renewable Excess Energy in Federated Learning

24 May 2023

Philipp Wiesner

Dennis Grinwald

Papers citing "FedZero: Leveraging Renewable Excess Energy in Federated Learning"

10 / 10 papers shown

Title
Energy-efficient Federated Learning with Dynamic Model Size Allocation M S Chaitanya Kumar S. Jindal Yunkai Bao Xin Wang Steve Drew 61 0 0 23 Nov 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 21 15 0 05 Feb 2024
Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients Pratik Agrawal Philipp Wiesner O. Kao FedML 17 0 0 16 Aug 2023
Vessim: A Testbed for Carbon-Aware Applications and Systems Philipp Wiesner Ilja Behnke Paul Kilian Marvin Steinke O. Kao 18 3 0 16 Jun 2023
Ecovisor: A Virtual Energy System for Carbon-Efficient Applications Abel Souza Noman Bashir Jorge R. Murillo Walid A. Hanafy Qianlin Liang David E. Irwin Prashant J. Shenoy 53 53 0 10 Oct 2022
Sustainable Computing -- Without the Hot Air Noman Bashir David E. Irwin Prashant J. Shenoy Abel Souza 23 14 0 30 Jun 2022
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning Rakshit Naidu Harshita Diddee Ajinkya Mulay Aleti Vardhan Krithika Ramesh Ahmed S. Zamzam 29 14 0 14 Jul 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,698 0 18 Mar 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016