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Roadmap for Edge AI: A Dagstuhl Perspective

Roadmap for Edge AI: A Dagstuhl Perspective

27 November 2021
Aaron Yi Ding
Ella Peltonen
Tobias Meuser
Atakan Aral
Christian Becker
Schahram Dustdar
Thomas Hiessl
D. Kranzlmuller
Madhusanka Liyanage
Setareh Magshudi
Nitinder Mohan
J. Ott
Jan S. Rellermeyer
Stefan Schulte
H. Schulzrinne
Gürkan Solmaz
Sasu Tarkoma
Blesson Varghese
L. Wolf
ArXiv (abs)PDFHTML

Papers citing "Roadmap for Edge AI: A Dagstuhl Perspective"

6 / 6 papers shown
Title
Revisiting the Arguments for Edge Computing Research
Revisiting the Arguments for Edge Computing Research
Blesson Varghese
E. de Lara
Aaron Yi Ding
Cheol-Ho Hong
F. Bonomi
...
P. Harvey
P. Hewkin
Weisong Shi
M. Thiele
P. Willis
64
29
0
23 Jun 2021
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge
  Intelligence
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint
Aaron Yi Ding
76
12
0
01 Dec 2020
Computational Models of Human Decision-Making with Application to the
  Internet of Everything
Computational Models of Human Decision-Making with Application to the Internet of Everything
S. Maghsudi
Max Davy
23
10
0
27 Aug 2020
Data Poisoning Attacks Against Federated Learning Systems
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin
Stacey Truex
Mehmet Emre Gursoy
Ling Liu
FedML
118
660
0
16 Jul 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
61
139
0
30 Apr 2020
Distributed Task Management in Cyber-Physical Systems: How to Cooperate
  under Uncertainty?
Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty?
S. Maghsudi
Mihaela van der Schaar
33
9
0
09 Dec 2018
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