Adaptive Differential Filters for Fast and Communication-Efficient
Federated Learning

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning

9 April 2022

Karsten Müller

Papers citing "Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning"

15 / 15 papers shown

Title
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 67 74 0 23 Jul 2021
LSQ+: Improving low-bit quantization through learnable offsets and better initialization Yash Bhalgat Jinwon Lee Markus Nagel Tijmen Blankevoort Nojun Kwak MQ 40 216 0 20 Apr 2020
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T) Arturo Marbán Daniel Becking Simon Wiedemann Wojciech Samek MQ 30 12 0 02 Apr 2020
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback Shuai Zheng Ziyue Huang James T. Kwok 43 114 0 27 May 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 44 1,343 0 07 Mar 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 49 359 0 18 Feb 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss S. Jung Changyong Son Seohyung Lee JinWoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi MQ 41 373 0 17 Aug 2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization Jiaxiang Wu Weidong Huang Junzhou Huang Tong Zhang 59 235 0 21 Jun 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 157 13,051 0 07 Feb 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 107 1,399 0 05 Dec 2017
Sparse Communication for Distributed Gradient Descent Alham Fikri Aji Kenneth Heafield 60 738 0 17 Apr 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 231 8,030 0 13 Aug 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 234 17,328 0 17 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 203 8,793 0 01 Oct 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 880 149,474 0 22 Dec 2014