Decentralized SGD with Over-the-Air Computation

Decentralized SGD with Over-the-Air Computation

6 March 2020

Deniz Gunduz

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Papers citing "Decentralized SGD with Over-the-Air Computation"

16 / 16 papers shown

Title
Communicate to Learn at the Edge Deniz Gunduz David Burth Kurka Mikolaj Jankowski M. Amiri Emre Ozfatura Sreejith Sreekumar 68 64 0 28 Sep 2020
On Analog Gradient Descent Learning over Multiple Access Fading Channels Tomer Sery Kobi Cohen 44 154 0 20 Aug 2019
Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh Hossein Taheri Aryan Mokhtari Hamed Hassani Ramtin Pedarsani 77 91 0 24 Jul 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 110 510 0 23 Jul 2019
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling Jianyu Wang Anit Kumar Sahu Zhouyi Yang Gauri Joshi S. Kar 68 163 0 23 May 2019
Machine Learning in the Air Deniz Gunduz Paul de Kerret N. Sidiropoulos David Gesbert C. Murthy M. Schaar AI4CE 48 196 0 28 Apr 2019
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 83 878 0 31 Dec 2018
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 69 643 0 30 Dec 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 136 1,407 0 05 Dec 2017
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 59 181 0 23 Jun 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 50 1,228 0 25 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 64 423 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 120 738 0 11 Nov 2015
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 271 684 0 07 Dec 2010

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