Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach

16 February 2021

Na Li

Papers citing "Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach"

21 / 21 papers shown

Title
On Analog Gradient Descent Learning over Multiple Access Fading Channels Tomer Sery Kobi Cohen 37 153 0 20 Aug 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 100 509 0 23 Jul 2019
Energy-Efficient Radio Resource Allocation for Federated Edge Learning Qunsong Zeng Yuqing Du K. Leung Kaibin Huang 56 226 0 13 Jul 2019
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 46 109 0 05 Jul 2019
Communication-efficient distributed SGD with Sketching Nikita Ivkin D. Rothchild Enayat Ullah Vladimir Braverman Ion Stoica R. Arora FedML 39 200 0 12 Mar 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi 54 502 0 28 Jan 2019
A Distributed Synchronous SGD Algorithm with Global Top- $k$ Sparsification for Low Bandwidth Networks Shaoshuai Shi Qiang-qiang Wang Kaiyong Zhao Zhenheng Tang Yuxin Wang Xiang Huang Xiaowen Chu 55 135 0 14 Jan 2019
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 71 877 0 31 Dec 2018
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 57 641 0 30 Dec 2018
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow Jialin Dong Yuanming Shi Z. Ding 29 59 0 12 Nov 2018
The Convergence of Sparsified Gradient Methods Dan Alistarh Torsten Hoefler M. Johansson Sarit Khirirat Nikola Konstantinov Cédric Renggli 143 492 0 27 Sep 2018
Sparsified SGD with Memory Sebastian U. Stich Jean-Baptiste Cordonnier Martin Jaggi 71 749 0 20 Sep 2018
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning Guangxu Zhu Dongzhu Liu Yuqing Du Changsheng You Jun Zhang Kaibin Huang 47 506 0 02 Sep 2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization Jiaxiang Wu Weidong Huang Junzhou Huang Tong Zhang 68 236 0 21 Jun 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 164 1,061 0 24 May 2018
signSGD: Compressed Optimisation for Non-Convex Problems Jeremy Bernstein Yu Wang Kamyar Azizzadenesheli Anima Anandkumar FedML ODL 87 1,041 0 13 Feb 2018
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 137 987 0 22 May 2017
Sparse Communication for Distributed Gradient Descent Alham Fikri Aji Kenneth Heafield 63 740 0 17 Apr 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 286 4,636 0 18 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Robust Analog Function Computation via Wireless Multiple-Access Channels Mario Goldenbaum S. Stańczak 88 177 0 10 Oct 2012