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1812.02858
Cited By
Wireless Network Intelligence at the Edge
7 December 2018
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
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Papers citing
"Wireless Network Intelligence at the Edge"
26 / 76 papers shown
Title
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
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
16
11
0
20 Apr 2020
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
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
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
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
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
Pengchao Han
Shiqiang Wang
K. Leung
FedML
27
175
0
14 Jan 2020
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
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
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
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
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
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
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
Mineto Tsukada
Masaaki Kondo
Hiroki Matsutani
18
72
0
23 Jul 2019
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
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
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
N. Skatchkovsky
Osvaldo Simeone
6
17
0
11 Jun 2019
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
Dongzhu Liu
Guangxu Zhu
Jun Zhang
Kaibin Huang
6
41
0
05 Dec 2018
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
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
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
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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