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Accordion: A Communication-Aware Machine Learning Framework for Next
  Generation Networks

Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks

12 January 2023
Fadhel Ayed
Antonio De Domenico
A. García‐Rodríguez
David López-Pérez
ArXivPDFHTML

Papers citing "Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks"

4 / 4 papers shown
Title
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
41
161
0
06 Aug 2020
Federated Learning for Wireless Communications: Motivation,
  Opportunities and Challenges
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
Solmaz Niknam
Harpreet S. Dhillon
J. H. Reed
45
600
0
30 Jul 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
77
1,124
0
22 Jul 2019
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
72
463
0
22 Nov 2017
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