Can Federated Learning Save The Planet?

Can Federated Learning Save The Planet?

13 October 2020

Titouan Parcollet

Daniel J. Beutel

Nicholas D. Lane

Papers citing "Can Federated Learning Save The Planet?"

9 / 9 papers shown

Title
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 45 0 0 22 May 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 25 15 0 05 Feb 2024
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 24 14 0 24 May 2023
Green Federated Learning Ashkan Yousefpour Sheng Guo Ashish Shenoy Sayan Ghosh Pierre Stock Kiwan Maeng Schalk-Willem Kruger Michael G. Rabbat Carole-Jean Wu Ilya Mironov FedML AI4CE 41 10 0 26 Mar 2023
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 21 15 0 13 Sep 2022
Federated Self-supervised Speech Representations: Are We There Yet? Yan Gao Javier Fernandez-Marques Titouan Parcollet Abhinav Mehrotra Nicholas D. Lane 27 13 0 06 Apr 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 107 53 0 31 Oct 2021
End-to-End Speech Recognition from Federated Acoustic Models Yan Gao Titouan Parcollet Salah Zaiem Javier Fernandez-Marques Pedro Porto Buarque de Gusmão Daniel J. Beutel Nicholas D. Lane 17 43 0 29 Apr 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 181 267 0 26 Feb 2021