AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning

16 July 2021

Papers citing "AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning"

14 / 14 papers shown

Title
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 26 0 0 07 May 2025
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning Gyudong Kim Mehdi Ghasemi Soroush Heidari Seungryong Kim Young Geun Kim S. Vrudhula Carole-Jean Wu 34 1 0 07 Mar 2024
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 44 10 0 26 Mar 2023
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 22 5 0 30 Nov 2022
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges N. Shalavi Giovanni Perin Andrea Zanella M. Rossi 29 6 0 28 Sep 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 26 15 0 13 Sep 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 9 5 0 07 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 39 31 0 30 May 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 34 13 0 18 Apr 2022
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks Sina Shahhosseini Tianyi Hu Dongjoo Seo A. Kanduri Bryan Donyanavard Amir M.Rahmani N. Dutt 26 4 0 21 Feb 2022
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 946 0 03 Feb 2021
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 78 0 13 Oct 2020
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang ... Krishnakumar Nair Isabel Gao Bor-Yiing Su Jiyan Yang M. Smelyanskiy GNN 46 95 0 20 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017