Can Federated Learning Save The Planet?

13 October 2020

Papers citing "Can Federated Learning Save The Planet?"

34 / 34 papers shown

Title
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data Sakshi Choudhary Sai Aparna Aketi Kaushik Roy FedML 62 0 0 22 May 2024
Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang Ping Li Xiaoyun Li 48 201 0 16 Aug 2023
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 36 15 0 13 Sep 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 50 44 0 21 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 136 6 0 05 Jun 2022
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink David A. Patterson Joseph E. Gonzalez Urs Holzle Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 58 238 0 11 Apr 2022
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 34 86 0 16 Jul 2021
SpeechBrain: A General-Purpose Speech Toolkit Mirco Ravanelli Titouan Parcollet Peter William VanHarn Plantinga Aku Rouhe Samuele Cornell ... William Aris Hwidong Na Yan Gao R. Mori Yoshua Bengio 55 758 0 08 Jun 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 40 42 0 29 Apr 2021
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 45 795 0 28 Jul 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 26 305 0 06 Jul 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 78 1,417 0 29 Feb 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 61 444 0 31 Jan 2020
Common Voice: A Massively-Multilingual Speech Corpus Rosana Ardila Megan Branson Kelly Davis Michael Henretty M. Kohler Josh Meyer Reuben Morais Lindsay Saunders Francis M. Tyers Gregor Weber VLM 47 1,547 0 13 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 94 6,177 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 118 42,038 0 03 Dec 2019
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 54 688 0 21 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 119 563 0 01 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 99 1,128 0 13 Sep 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 123 2,311 0 04 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 35 2,633 0 05 Jun 2019
Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin Mayank Agarwal S. Ghosh Kristjan Greenewald T. Hoang Y. Khazaeni FedML 113 724 0 28 May 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 76 5,105 0 14 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 87 1,410 0 03 Dec 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 132 2,547 0 02 Jun 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 97 1,390 0 23 Apr 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 41 1,599 0 09 Apr 2018
Hello Edge: Keyword Spotting on Microcontrollers Yundong Zhang Naveen Suda Liangzhen Lai Vikas Chandra 55 433 0 20 Nov 2017
Practical Secure Aggregation for Federated Learning on User-Held Data Keith Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. B. McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth FedML 37 499 0 14 Nov 2016
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning Suyoun Kim Takaaki Hori Shinji Watanabe 48 921 0 21 Sep 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 200 17,235 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 94 733 0 11 Nov 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 898 39,383 0 01 Sep 2014