ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.02858
  4. Cited By
Wireless Network Intelligence at the Edge
v1v2 (latest)

Wireless Network Intelligence at the Edge

7 December 2018
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
ArXiv (abs)PDFHTML

Papers citing "Wireless Network Intelligence at the Edge"

50 / 175 papers shown
Robustness and Diversity Seeking Data-Free Knowledge Distillation
Robustness and Diversity Seeking Data-Free Knowledge Distillation
Pengchao Han
Jihong Park
Maroun Touma
Yejun Liu
244
16
0
07 Nov 2020
Federated Knowledge Distillation
Federated Knowledge Distillation
Hyowoon Seo
Jihong Park
Seungeun Oh
M. Bennis
Seong-Lyun Kim
FedML
222
102
0
04 Nov 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented
  Communications
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Emilio Calvanese Strinati
Sergio Barbarossa
331
471
0
04 Nov 2020
Sliding Differential Evolution Scheduling for Federated Learning in
  Bandwidth-Limited Networks
Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited NetworksIEEE Communications Letters (IEEE Commun. Lett.), 2020
Yifan Luo
Jindan Xu
Wenyuan Xu
Kezhi Wang
60
16
0
18 Oct 2020
Towards Self-learning Edge Intelligence in 6G
Towards Self-learning Edge Intelligence in 6G
Yong Xiao
Guangming Shi
Yingyu Li
Walid Saad
H. Vincent Poor
208
92
0
01 Oct 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open
  Issues
Machine Learning in Event-Triggered Control: Recent Advances and Open IssuesIEEE Access (IEEE Access), 2020
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
220
20
0
27 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed
  Non-i.i.d. Data
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. DataInformation Sciences (Inf. Sci.), 2020
Jie Peng
Zhaoxian Wu
Qing Ling
Tianyi Chen
OODFedML
221
28
0
17 Sep 2020
Communication Efficient Distributed Learning with Censored, Quantized,
  and Generalized Group ADMM
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
Chaouki Ben Issaid
Anis Elgabli
Jihong Park
M. Bennis
Mérouane Debbah
FedML
210
13
0
14 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G:
  Integrating Domain Knowledge into Deep Learning
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
285
17
0
13 Sep 2020
Wireless for Machine Learning
Wireless for Machine Learning
Henrik Hellström
J. M. B. D. Silva
Mohammad Mohammadi Amiri
Mingzhe Chen
Viktoria Fodor
H. Vincent Poor
Carlo Fischione
338
18
0
31 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for
  Communication-Efficient Collaborative Training with Non-IID Private Data
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Sohei Itahara
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
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and ApplicationsProceedings of the IEEE (Proc. IEEE), 2020
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
275
176
0
06 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence
State-of-the-art Techniques in Deep Edge Intelligence
Ahnaf Hannan Lodhi
Barış Akgün
Öznur Özkasap
312
5
0
03 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
621
658
0
27 Jul 2020
Wireless Image Retrieval at the Edge
Wireless Image Retrieval at the Edge
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
281
243
0
21 Jul 2020
Learning Centric Power Allocation for Edge Intelligence
Learning Centric Power Allocation for Edge Intelligence
Shuai Wang
Rui Wang
Qi Hao
Yik-Chung Wu
H. Vincent Poor
159
10
0
21 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained
  Wireless Federated Learning
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated LearningIEEE Transactions on Wireless Communications (TWC), 2020
Wenqi Shi
Sheng Zhou
Z. Niu
Miao Jiang
Lu Geng
154
336
0
14 Jul 2020
Challenges of AI in Wireless Networks for IoT
Challenges of AI in Wireless Networks for IoT
Ijaz Ahmad
Shahriar Shahabuddin
T. Kumar
E. Harjula
M. Meisel
M. Juntti
T. Sauter
M. Ylianttila
130
18
0
09 Jul 2020
Delay Minimization for Federated Learning Over Wireless Communication
  Networks
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
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
Anis Elgabli
Jihong Park
Chaouki Ben Issaid
M. Bennis
177
67
0
03 Jul 2020
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation
  With Two-Way Mixup
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
0
17 Jun 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated
  Learning
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
120
0
09 Jun 2020
From Federated to Fog Learning: Distributed Machine Learning over
  Heterogeneous Wireless Networks
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
12
0
07 Jun 2020
Wireless Communications for Collaborative Federated Learning
Wireless Communications for Collaborative Federated LearningIEEE Communications Magazine (IEEE Commun. Mag.), 2020
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
227
174
0
03 Jun 2020
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
99
3
0
20 May 2020
Proxy Experience Replay: Federated Distillation for Distributed
  Reinforcement Learning
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
Han Cha
Jihong Park
Hyesung Kim
M. Bennis
Seong-Lyun Kim
116
31
0
13 May 2020
6G White Paper on Edge Intelligence
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
159
0
30 Apr 2020
Communication-Efficient Edge AI Inference Over Wireless Networks
Communication-Efficient Edge AI Inference Over Wireless Networks
Kai Yang
Yong Zhou
Zhanpeng Yang
Yuanming Shi
GNN
87
4
0
28 Apr 2020
Why should we add early exits to neural networks?
Why should we add early exits to neural networks?Cognitive Computation (Cogn Comput), 2020
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
242
136
0
27 Apr 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 CircuitsInternational Conference on Pattern Recognition (ICPR), 2020
Hyeryung Jang
N. Skatchkovsky
Osvaldo Simeone
272
14
0
20 Apr 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable
  Intelligent Surface
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent SurfaceIEEE Network (IEEE Netw.), 2020
Kai Yang
Yuanming Shi
Yong Zhou
Zhanpeng Yang
Liqun Fu
Wei Chen
114
152
0
13 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and
  Channel Awareness
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
0
01 Apr 2020
A Modular Neural Network Based Deep Learning Approach for MIMO Signal
  Detection
A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection
Songyan Xue
Yi Ma
N. Yi
T. Dodgson
89
6
0
01 Apr 2020
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource
  Allocation
Deep Learning Assisted CSI Estimation for Joint URLLC and eMBB Resource Allocation
Hamza Khan
M. Butt
S. Samarakoon
P. Sehier
M. Bennis
151
21
0
12 Mar 2020
Gradient Statistics Aware Power Control for Over-the-Air Federated
  Learning
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning
Naifu Zhang
M. Tao
230
24
0
04 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and SystemsIEEE Communications Surveys and Tutorials (COMST), 2020
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
202
404
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 SystemsIEEE 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
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
159
0
19 Feb 2020
Overcoming Noisy and Irrelevant Data in Federated Learning
Overcoming Noisy and Irrelevant Data in Federated Learning
Tiffany Tuor
Maroun Touma
Bongjun Ko
Wei-Han Lee
K. Leung
FedML
161
26
0
22 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless
  Networks
Convergence Time Optimization for Federated Learning over Wireless NetworksIEEE 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
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning ApproachIEEE 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
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method
Bekir Sait Ciftler
A. Albaseer
Noureddine Lasla
M. Abdallah
FedML
123
26
0
07 Jan 2020
Advances and Open Problems in Federated Learning
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
FedMLAI4CE
652
7,599
0
10 Dec 2019
Distributed Machine Learning through Heterogeneous Edge Systems
Distributed Machine Learning through Heterogeneous Edge SystemsAAAI Conference on Artificial Intelligence (AAAI), 2019
Han Hu
Dan Wang
Chuan Wu
118
44
0
16 Nov 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation
Machine Intelligence at the Edge with Learning Centric Power AllocationIEEE Transactions on Wireless Communications (TWC), 2019
Shuai Wang
Yik-Chung Wu
Minghua Xia
Rui Wang
H. Vincent Poor
152
76
0
12 Nov 2019
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient
  Decentralized Deep Learning
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep LearningIEEE Wireless Communications and Networking Conference (WCNC), 2019
Anis Elgabli
Jihong Park
Sabbir Ahmed
M. Bennis
FedML
169
21
0
09 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks
Energy Efficient Federated Learning Over Wireless Communication NetworksIEEE Transactions on Wireless Communications (TWC), 2019
Zhaohui Yang
Mingzhe Chen
Walid Saad
Choong Seon Hong
M. Shikh-Bahaei
348
762
0
06 Nov 2019
Federated Learning for Edge Networks: Resource Optimization and
  Incentive Mechanism
Federated Learning for Edge Networks: Resource Optimization and Incentive MechanismIEEE Communications Magazine (IEEE Commun. Mag.), 2019
L. U. Khan
Shashi Raj Pandey
Nguyen H. Tran
Walid Saad
Zhu Han
Minh N. H. Nguyen
Choong Seon Hong
FedML
311
418
0
06 Nov 2019
Device Scheduling with Fast Convergence for Wireless Federated Learning
Device Scheduling with Fast Convergence for Wireless Federated Learning
Misha Sra
C. Schmandt
Z. Niu
FedML
180
218
0
03 Nov 2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant
  Data
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Yuxuan Sun
Sheng Zhou
Deniz Gündüz
FedML
216
101
0
01 Nov 2019
Previous
1234
Next