Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks

21 March 2021

Papers citing "Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks"

18 / 18 papers shown

Title
Deep Learning Methods for Universal MISO Beamforming Junbeom Kim Hoon Lee Seung‐Eun Hong Seok-Hwan Park 19 54 0 02 Jul 2020
Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet Yong Xiao Marwan Krunz 13 109 0 28 Jan 2020
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning Dong Liu Chengjian Sun Chenyang Yang L. Hanzo 12 35 0 03 Jan 2020
A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver Hoon Lee Tony Q.S. Quek Sang Hyun Lee 36 18 0 26 Oct 2019
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management Hoon Lee Sang Hyun Lee Tony Q.S. Quek 32 92 0 31 May 2019
Machine Learning in the Air Deniz Gunduz Paul de Kerret N. Sidiropoulos David Gesbert C. Murthy M. Schaar AI4CE 26 195 0 28 Apr 2019
Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications Hoon Lee Sang Hyun Lee Tony Q.S. Quek Inkyu Lee 21 40 0 13 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 72 519 0 07 Dec 2018
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks Yasar Sinan Nasir Dongning Guo 32 464 0 01 Aug 2018
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 163 2,441 0 10 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 114 952 0 01 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 118 2,184 0 02 Feb 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 901 192,638 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 189 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014
Techniques for Learning Binary Stochastic Feedforward Neural Networks T. Raiko Mathias Berglund Guillaume Alain Laurent Dinh BDL 69 126 0 11 Jun 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 252 3,099 0 15 Aug 2013
Estimating or Propagating Gradients Through Stochastic Neurons Yoshua Bengio 72 110 0 14 May 2013