Convergence of Federated Learning over a Noisy Downlink

25 August 2020

Deniz Gunduz

Papers citing "Convergence of Federated Learning over a Noisy Downlink"

32 / 32 papers shown

Title
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints Yuxuan Sun Sheng Zhou Z. Niu Deniz Gündüz 66 93 0 31 May 2021
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 92 92 0 19 Oct 2020
Communicate to Learn at the Edge Deniz Gunduz David Burth Kurka Mikolaj Jankowski M. Amiri Emre Ozfatura Sreejith Sreekumar 36 64 0 28 Sep 2020
Federated Learning With Quantized Global Model Updates M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 30 131 0 18 Jun 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 37 9 0 18 Mar 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 32 29 0 03 Feb 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 100 170 0 28 Jan 2020
Communication Efficient Federated Learning over Multiple Access Channels Wei-Ting Chang Ravi Tandon FedML 37 44 0 23 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 46 309 0 16 Jan 2020
Device Scheduling with Fast Convergence for Wireless Federated Learning Misha Sra C. Schmandt Z. Niu FedML 29 196 0 03 Nov 2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data Yuxuan Sun Sheng Zhou Deniz Gündüz FedML 27 95 0 01 Nov 2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 87 333 0 29 Oct 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 50 1,181 0 17 Sep 2019
On Analog Gradient Descent Learning over Multiple Access Fading Channels Tomer Sery Kobi Cohen 15 153 0 20 Aug 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 85 508 0 23 Jul 2019
Collaborative Machine Learning at the Wireless Edge with Blind Transmitters M. Amiri T. Duman Deniz Gunduz 29 54 0 08 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 121 2,311 0 04 Jul 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 31 169 0 23 May 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression Hanlin Tang Xiangru Lian Chen Yu Tong Zhang Ji Liu 27 217 0 15 May 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 62 928 0 01 Feb 2019
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 52 874 0 31 Dec 2018
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 45 638 0 30 Dec 2018
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 45 449 0 18 Dec 2018
COLA: Decentralized Linear Learning Lie He An Bian Martin Jaggi 66 118 0 13 Aug 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
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 73 1,791 0 30 May 2017
Randomized Distributed Mean Estimation: Accuracy vs Communication Jakub Konecný Peter Richtárik FedML 102 101 0 22 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 249 4,620 0 18 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 196 17,235 0 17 Feb 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 94 733 0 11 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 421 149,474 0 22 Dec 2014