GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning

30 August 2019

Papers citing "GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning"

22 / 22 papers shown

Title
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 49 2 0 17 May 2024
Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices Gleb I. Radchenko Victoria Andrea Fill 45 1 0 14 Mar 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 47 16 0 20 Jul 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 28 6 0 14 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 40 13 0 11 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 39 399 0 01 Jun 2022
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles M. Billah S. T. Mehedi A. Anwar Ziaur Rahman R. Islam 32 26 0 10 Mar 2022
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning George P. Kontoudis D. Stilwell FedML 19 8 0 06 Mar 2022
Towards Energy Efficient Distributed Federated Learning for 6G Networks Sunder Ali Khowaja K. Dev Parus Khowaja P. Bellavista FedML 16 39 0 19 Jan 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 48 417 0 24 Nov 2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs B. Soret L. Nguyen J. Seeger Arne Bröring Chaouki Ben Issaid S. Samarakoon Anis El Gabli V. Kulkarni M. Bennis P. Popovski 31 13 0 04 Oct 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 39 15 0 11 Jun 2021
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning S. Savazzi Sanaz Kianoush V. Rampa M. Bennis 24 15 0 18 Mar 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 43 126 0 09 Jan 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 33 13 0 14 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 29 91 0 18 Jul 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 27 109 0 09 Jun 2020
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 24 67 0 23 Oct 2019
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 23 518 0 07 Dec 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,688 0 14 Apr 2018