Distributed deep learning on edge-devices: feasibility via adaptive
compression

Distributed deep learning on edge-devices: feasibility via adaptive compression

15 February 2017

Erwan Le Merrer

Papers citing "Distributed deep learning on edge-devices: feasibility via adaptive compression"

9 / 9 papers shown

Title
Update Compression for Deep Neural Networks on the Edge Bo Chen A. Bakhshi Gustavo E. A. P. A. Batista Brian Ng Tat-Jun Chin 26 17 0 09 Mar 2022
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning Yuanrui Dong Peng Zhao Hanqiao Yu Cong Zhao Shusen Yang 28 19 0 04 May 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 28 15 0 24 Apr 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 32 175 0 14 Jan 2020
Distributed Deep Convolutional Neural Networks for the Internet-of-Things Simone Disabato M. Roveri Cesare Alippi 21 47 0 02 Aug 2019
OODIDA: On-board/Off-board Distributed Real-Time Data Analytics for Connected Vehicles G. Ulm Simon Smith Adrian Nilsson E. Gustavsson Mats Jirstrand 13 11 0 01 Feb 2019
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets Corentin Hardy Erwan Le Merrer B. Sericola GAN 27 181 0 09 Nov 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,304 0 12 Mar 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 13 70 0 21 Feb 2018