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6G White Paper on Edge Intelligence

6G White Paper on Edge Intelligence

30 April 2020
Ella Peltonen
M. Bennis
M. Capobianco
Merouane Debbah
Aaron Yi Ding
F. Gil-Castiñeira
Marko Jurmu
Teemu Karvonen
Markus Kelanti
Adrian Kliks
T. Leppanen
Lauri Lovén
T. Mikkonen
Ashwin Rao
S. Samarakoon
K. Seppänen
Paweł Sroka
Sasu Tarkoma
Tingting Yang
ArXiv (abs)PDFHTML

Papers citing "6G White Paper on Edge Intelligence"

19 / 19 papers shown
Title
SDVDiag: A Modular Platform for the Diagnosis of Connected Vehicle Functions
SDVDiag: A Modular Platform for the Diagnosis of Connected Vehicle Functions
Matthias Weiß
Falk Dettinger
Michael Weyrich
53
0
0
25 Jul 2025
Federated Learning with Integrated Sensing, Communication, and
  Computation: Frameworks and Performance Analysis
Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
Yipeng Liang
Qimei Chen
Hao Jiang
FedML
182
2
0
17 Sep 2024
Green Edge AI: A Contemporary Survey
Green Edge AI: A Contemporary SurveyProceedings of the IEEE (Proc. IEEE), 2023
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
242
43
0
01 Dec 2023
AI-native Interconnect Framework for Integration of Large Language Model
  Technologies in 6G Systems
AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systems
Sasu Tarkoma
Roberto Morabito
Jaakko Sauvola
187
27
0
10 Nov 2023
Towards characterization of edge-cloud continuum
Towards characterization of edge-cloud continuumEuropean Conference on Software Architecture (ECSA), 2023
Danylo Khalyeyev
T. Bures
P. Hnetynka
61
13
0
11 Sep 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future
  Directions
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future DirectionsFundamental Research (FR), 2023
Bingnan Xiao
Xichen Yu
Wei Ni
Xin Wang
H. Vincent Poor
129
28
0
03 Jul 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey
  of Vulnerabilities, Datasets, and Defenses
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and DefensesIEEE Communications Surveys and Tutorials (COMST), 2023
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
257
80
0
17 Jun 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6GIEEE Communications Surveys and Tutorials (COMST), 2023
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
156
270
0
02 Jan 2023
Beyond 5G Networks: Integration of Communication, Computing, Caching,
  and Control
Beyond 5G Networks: Integration of Communication, Computing, Caching, and ControlChina Communications (China Commun.), 2022
M. M. Adam
Liqiang Zhao
Kezhi Wang
Zhu Han
72
12
0
26 Dec 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research DirectionsIEEE Internet of Things Journal (IEEE IoT J.), 2022
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
252
148
0
05 Aug 2022
Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
202
33
0
03 May 2022
Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous
  Driving
Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous Driving
Paweł Sroka
Adrian Kliks
29
3
0
22 Mar 2022
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
Efficient Distributed DNNs in the Mobile-edge-cloud ContinuumIEEE/ACM Transactions on Networking (TON), 2022
F. Malandrino
C. Chiasserini
G. di Giacomo
85
9
0
23 Feb 2022
Roadmap for Edge AI: A Dagstuhl Perspective
Roadmap for Edge AI: A Dagstuhl PerspectiveComputer communication review (CCR), 2021
Aaron Yi Ding
Ella Peltonen
Tobias Meuser
Atakan Aral
Christian Becker
...
H. Schulzrinne
Gürkan Solmaz
Sasu Tarkoma
Blesson Varghese
L. Wolf
116
34
0
27 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated
  Learning: A Survey of Trends and Challenges
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and ChallengesIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Mohammad M. Al-Quraan
Lina S. Mohjazi
Lina Bariah
A. Centeno
A. Zoha
Sami Muhaidat
Mérouane Debbah
Muhammad Ali Imran
120
87
0
14 Nov 2021
Security and privacy for 6G: A survey on prospective technologies and
  challenges
Security and privacy for 6G: A survey on prospective technologies and challengesIEEE Communications Surveys and Tutorials (COMST), 2021
V. Nguyen
Po-Ching Lin
Bo-Chao Cheng
Ren-Hung Hwang
Ying-Dar Lin
AILaw
131
335
0
26 Aug 2021
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
215
445
0
04 Nov 2020
Research and Education Towards Smart and Sustainable World
Research and Education Towards Smart and Sustainable World
J. Riekki
A. Mämmelä
30
22
0
29 Sep 2020
Incentive Mechanism Design for Resource Sharing in Collaborative Edge
  Learning
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning
Wei Yang Bryan Lim
Jer Shyuan Ng
Zehui Xiong
Dusit Niyato
Cyril Leung
Chunyan Miao
Qiang Yang
FedML
89
26
0
31 May 2020
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