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Wireless Network Intelligence at the Edge

Wireless Network Intelligence at the Edge

7 December 2018
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
ArXivPDFHTML

Papers citing "Wireless Network Intelligence at the Edge"

26 / 76 papers shown
Title
Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO
Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO
Ahmet M. Elbir
Sinem Coleri
FedML
11
3
0
20 May 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of
  Probabilistic Spiking Winner-Take-All Circuits
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
16
11
0
20 Apr 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable
  Intelligent Surface
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Kai Yang
Yuanming Shi
Yong Zhou
Zhanpeng Yang
Liqun Fu
Wei-Neng Chen
11
142
0
13 Apr 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable
  Edge Computing Systems
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
M. S. Munir
N. H. Tran
Walid Saad
C. Hong
6
19
0
20 Feb 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling
  with UAV Swarms
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng
Omid Semiari
Mohammad Mozaffari
Mingzhe Chen
Walid Saad
M. Bennis
FedML
6
148
0
19 Feb 2020
Convergence Time Optimization for Federated Learning over Wireless
  Networks
Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
12
295
0
22 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An
  Online Learning Approach
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han
Shiqiang Wang
K. Leung
FedML
27
175
0
14 Jan 2020
Machine Intelligence at the Edge with Learning Centric Power Allocation
Machine Intelligence at the Edge with Learning Centric Power Allocation
Shuai Wang
Yik-Chung Wu
Minghua Xia
Rui-cang Wang
H. Vincent Poor
27
66
0
12 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang
Mingzhe Chen
Walid Saad
C. Hong
M. Shikh-Bahaei
11
680
0
06 Nov 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized
  Machine Learning
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis Elgabli
Jihong Park
Amrit Singh Bedi
Chaouki Ben Issaid
M. Bennis
Vaneet Aggarwal
13
67
0
23 Oct 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
30
443
0
26 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
65
604
0
02 Sep 2019
Machine Learning at the Network Edge: A Survey
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
30
378
0
31 Jul 2019
Energy-Efficient Processing and Robust Wireless Cooperative Transmission
  for Edge Inference
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference
Kai Yang
Yuanming Shi
Wei Yu
Z. Ding
16
42
0
29 Jul 2019
A Neural Network-Based On-device Learning Anomaly Detector for Edge
  Devices
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices
Mineto Tsukada
Masaaki Kondo
Hiroki Matsutani
18
72
0
23 Jul 2019
Federated Reinforcement Distillation with Proxy Experience Memory
Federated Reinforcement Distillation with Proxy Experience Memory
Han Cha
Jihong Park
Hyesung Kim
Seong-Lyun Kim
M. Bennis
8
16
0
15 Jul 2019
Multi-hop Federated Private Data Augmentation with Sample Compression
Multi-hop Federated Private Data Augmentation with Sample Compression
Eunjeong Jeong
Seungeun Oh
Jihong Park
Hyesung Kim
M. Bennis
Seong-Lyun Kim
18
17
0
15 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to
  Vehicular Networks
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
Le Liang
Hao Ye
Guanding Yu
Geoffrey Ye Li
19
194
0
07 Jul 2019
Optimizing Pipelined Computation and Communication for
  Latency-Constrained Edge Learning
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning
N. Skatchkovsky
Osvaldo Simeone
6
17
0
11 Jun 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Jinke Ren
Guanding Yu
Guangyao Ding
FedML
18
168
0
23 May 2019
Wireless Data Acquisition for Edge Learning: Data-Importance Aware
  Retransmission
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission
Dongzhu Liu
Guangxu Zhu
Jun Zhang
Kaibin Huang
6
41
0
05 Dec 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
272
404
0
09 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
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