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Continual Learning at the Edge: Real-Time Training on Smartphone Devices

Continual Learning at the Edge: Real-Time Training on Smartphone Devices

24 May 2021
Lorenzo Pellegrini
Vincenzo Lomonaco
G. Graffieti
Davide Maltoni
ArXivPDFHTML

Papers citing "Continual Learning at the Edge: Real-Time Training on Smartphone Devices"

5 / 5 papers shown
Title
Cost-effective On-device Continual Learning over Memory Hierarchy with
  Miro
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma
Suyeon Jeong
Minjia Zhang
Di Wang
Jonghyun Choi
Myeongjae Jeon
CLL
18
13
0
11 Aug 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
33
9
0
19 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Cen Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
86
0
27 Jun 2023
Federated Learning -- Methods, Applications and beyond
Federated Learning -- Methods, Applications and beyond
Moritz Heusinger
Christoph Raab
Fabrice Rossi
Frank-Michael Schleif
FedML
OOD
18
5
0
22 Dec 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,599
0
17 Apr 2017
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