Bayesian Federated Model Compression for Communication and Computation Efficiency

11 April 2024

Papers citing "Bayesian Federated Model Compression for Communication and Computation Efficiency"

19 / 19 papers shown

Title
More Communication Does Not Result in Smaller Generalization Error in Federated Learning Abdellatif Zaidi Romain Chor Milad Sefidgaran FedML AI4CE 55 10 0 24 Apr 2023
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach Cheng-Gang Xia Danny H. K. Tsang Vincent K. N. Lau BDL 44 6 0 21 Feb 2023
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 90 90 0 16 Jun 2022
When to Prune? A Policy towards Early Structural Pruning Maying Shen Pavlo Molchanov Hongxu Yin J. Álvarez VLM 70 56 0 22 Oct 2021
A Bayesian Federated Learning Framework with Online Laplace Approximation Liang Liu Xi Jiang Feng Zheng Hong Chen Guo-Jun Qi Heng-Chiao Huang Ling Shao FedML 90 57 0 03 Feb 2021
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 84 628 0 14 Jul 2020
An Overview of Neural Network Compression James OÑeill AI4CE 97 98 0 05 Jun 2020
Bayesian Bits: Unifying Quantization and Pruning M. V. Baalen Christos Louizos Markus Nagel Rana Ali Amjad Ying Wang Tijmen Blankevoort Max Welling MQ 68 114 0 14 May 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 85 66 0 21 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 78 179 0 07 Mar 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 256 6,261 0 10 Dec 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 254 774 0 28 Sep 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 143 1,150 0 13 Sep 2019
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 62 50 0 24 May 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 73 605 0 17 Jul 2018
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 166 479 0 24 May 2017
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 422 466 0 02 Jul 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
Block stochastic gradient iteration for convex and nonconvex optimization Yangyang Xu W. Yin 134 134 0 12 Aug 2014