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1812.02858
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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"
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6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
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Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks
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Jindan Xu
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Kezhi Wang
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18 Oct 2020
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Yingyu Li
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Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
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Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
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Qing Ling
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17 Sep 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
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Anis Elgabli
Jihong Park
M. Bennis
Mérouane Debbah
FedML
210
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14 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
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Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
285
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13 Sep 2020
Wireless for Machine Learning
Henrik Hellström
J. M. B. D. Silva
Mohammad Mohammadi Amiri
Mingzhe Chen
Viktoria Fodor
H. Vincent Poor
Carlo Fischione
338
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31 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
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Takayuki Nishio
Yusuke Koda
M. Morikura
Koji Yamamoto
FedML
288
328
0
14 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Proceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
275
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06 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence
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Barış Akgün
Öznur Özkasap
312
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FedML: A Research Library and Benchmark for Federated Machine Learning
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Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
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Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
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27 Jul 2020
Wireless Image Retrieval at the Edge
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
281
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21 Jul 2020
Learning Centric Power Allocation for Edge Intelligence
Shuai Wang
Rui Wang
Qi Hao
Yik-Chung Wu
H. Vincent Poor
159
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21 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
IEEE Transactions on Wireless Communications (TWC), 2020
Wenqi Shi
Sheng Zhou
Z. Niu
Miao Jiang
Lu Geng
154
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14 Jul 2020
Challenges of AI in Wireless Networks for IoT
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Shahriar Shahabuddin
T. Kumar
E. Harjula
M. Meisel
M. Juntti
T. Sauter
M. Ylianttila
130
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09 Jul 2020
Delay Minimization for Federated Learning Over Wireless Communication Networks
Zhaohui Yang
Mingzhe Chen
Walid Saad
Choong Seon Hong
M. Shikh-Bahaei
H. Vincent Poor
Shuguang Cui
FedML
111
60
0
05 Jul 2020
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
Anis Elgabli
Jihong Park
Chaouki Ben Issaid
M. Bennis
177
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03 Jul 2020
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
Seungeun Oh
Jihong Park
Eunjeong Jeong
Hyesung Kim
M. Bennis
Seong-Lyun Kim
FedML
153
65
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17 Jun 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
Myungjae Shin
Chihoon Hwang
Joongheon Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
FedML
205
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09 Jun 2020
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour
Christopher G. Brinton
Vaneet Aggarwal
H. Dai
M. Chiang
FedML
143
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07 Jun 2020
Wireless Communications for Collaborative Federated Learning
IEEE Communications Magazine (IEEE Commun. Mag.), 2020
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
227
174
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03 Jun 2020
Federated Learning for Hybrid Beamforming in mm-Wave Massive MIMO
Ahmet M. Elbir
Sinem Coleri
FedML
99
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20 May 2020
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
Han Cha
Jihong Park
Hyesung Kim
M. Bennis
Seong-Lyun Kim
116
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13 May 2020
6G White Paper on Edge Intelligence
Ella Peltonen
M. Bennis
M. Capobianco
Merouane Debbah
Aaron Yi Ding
...
S. Samarakoon
K. Seppänen
Paweł Sroka
Sasu Tarkoma
Tingting Yang
195
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30 Apr 2020
Communication-Efficient Edge AI Inference Over Wireless Networks
Kai Yang
Yong Zhou
Zhanpeng Yang
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GNN
87
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Why should we add early exits to neural networks?
Cognitive Computation (Cogn Comput), 2020
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
242
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27 Apr 2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
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Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
272
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20 Apr 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
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Kai Yang
Yuanming Shi
Yong Zhou
Zhanpeng Yang
Liqun Fu
Wei Chen
114
152
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13 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness
Jinke Ren
Yinghui He
Dingzhu Wen
Guanding Yu
Kaibin Huang
Dongning Guo
251
209
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01 Apr 2020
A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection
Songyan Xue
Yi Ma
N. Yi
T. Dodgson
89
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Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
Hamza Khan
M. Butt
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P. Sehier
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151
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12 Mar 2020
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning
Naifu Zhang
M. Tao
230
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04 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems
IEEE Communications Surveys and Tutorials (COMST), 2020
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
202
404
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22 Feb 2020
Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
IEEE Transactions on Network and Service Management (TNSM), 2020
M. S. Munir
N. H. Tran
Walid Saad
Choong Seon Hong
227
34
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
137
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19 Feb 2020
Overcoming Noisy and Irrelevant Data in Federated Learning
Tiffany Tuor
Maroun Touma
Bongjun Ko
Wei-Han Lee
K. Leung
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161
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22 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks
IEEE Transactions on Wireless Communications (TWC), 2020
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
138
326
0
22 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
IEEE International Conference on Distributed Computing Systems (ICDCS), 2020
Pengchao Han
Maroun Touma
K. Leung
FedML
335
217
0
14 Jan 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method
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A. Albaseer
Noureddine Lasla
M. Abdallah
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123
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07 Jan 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
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AI4CE
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Distributed Machine Learning through Heterogeneous Edge Systems
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Han Hu
Dan Wang
Chuan Wu
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Machine Intelligence at the Edge with Learning Centric Power Allocation
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Yik-Chung Wu
Minghua Xia
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H. Vincent Poor
152
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L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning
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169
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0
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Mingzhe Chen
Walid Saad
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M. Shikh-Bahaei
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