Spiking networks for improved cognitive abilities of edge computing devices

Anton Akusok; Kaj-Mikael Björk; Leonardo Espinosa-Leal; Yoan Miche; Renjie Hu; Amaury Lendasse

doi:10.1145/3316782.3321546

Spiking networks for improved cognitive abilities of edge computing devices

Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa-Leal, Yoan Miche, Renjie Hu, Amaury Lendasse

Not published at VTT

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

This concept paper highlights a recently opened opportunity for large scale analytical algorithms to be trained directly on edge devices. Such approach is a response to the arising need of processing data generated by natural person (a human being), also known as personal data. Spiking Neural networks are the core method behind it: suitable for a low latency energy-constrained hardware, enabling local training or re-training, while not taking advantage of scalability available in the Cloud.

Original language	English
Title of host publication	Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments
Subtitle of host publication	PETRA '19
Editors	Filia Makedon
Place of Publication	New York
Publisher	Association for Computing Machinery ACM
Pages	307-308
Number of pages	2
ISBN (Print)	978-1-4503-6232-0
DOIs	https://doi.org/10.1145/3316782.3321546
Publication status	Published - 5 Jun 2019
MoE publication type	A4 Article in a conference publication
Event	12th PErvasive Technologies Related to Assistive Environments Conference (PETRA '19) - Rhodes, Greece Duration: 5 Jun 2019 → 7 Jun 2019

Conference

Conference	12th PErvasive Technologies Related to Assistive Environments Conference (PETRA '19)
Country/Territory	Greece
City	Rhodes
Period	5/06/19 → 7/06/19

Keywords

Edge computing
Interactive computation
Spiking neural networks

Access to Document

10.1145/3316782.3321546

Cite this

Akusok, A., Björk, K.-M., Espinosa-Leal, L., Miche, Y., Hu, R., & Lendasse, A. (2019). Spiking networks for improved cognitive abilities of edge computing devices. In F. Makedon (Ed.), Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments: PETRA '19 (pp. 307-308). Association for Computing Machinery ACM. https://doi.org/10.1145/3316782.3321546

@inproceedings{9c02210687b7462a9bd2bc61836b80ec,

title = "Spiking networks for improved cognitive abilities of edge computing devices",

abstract = "This concept paper highlights a recently opened opportunity for large scale analytical algorithms to be trained directly on edge devices. Such approach is a response to the arising need of processing data generated by natural person (a human being), also known as personal data. Spiking Neural networks are the core method behind it: suitable for a low latency energy-constrained hardware, enabling local training or re-training, while not taking advantage of scalability available in the Cloud.",

keywords = "Edge computing, Interactive computation, Spiking neural networks",

author = "Anton Akusok and Kaj-Mikael Bj{\"o}rk and Leonardo Espinosa-Leal and Yoan Miche and Renjie Hu and Amaury Lendasse",

year = "2019",

month = jun,

day = "5",

doi = "10.1145/3316782.3321546",

language = "English",

isbn = "978-1-4503-6232-0",

pages = "307--308",

editor = "Filia Makedon",

booktitle = "Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments",

publisher = "Association for Computing Machinery ACM",

address = "United States",

note = "12th PErvasive Technologies Related to Assistive Environments Conference (PETRA '19) ; Conference date: 05-06-2019 Through 07-06-2019",

}

Akusok, A, Björk, K-M, Espinosa-Leal, L, Miche, Y, Hu, R & Lendasse, A 2019, Spiking networks for improved cognitive abilities of edge computing devices. in F Makedon (ed.), Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments: PETRA '19. Association for Computing Machinery ACM, New York, pp. 307-308, 12th PErvasive Technologies Related to Assistive Environments Conference (PETRA '19), Rhodes, Greece, 5/06/19. https://doi.org/10.1145/3316782.3321546

Spiking networks for improved cognitive abilities of edge computing devices. / Akusok, Anton; Björk, Kaj-Mikael; Espinosa-Leal, Leonardo et al.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments: PETRA '19. ed. / Filia Makedon. New York: Association for Computing Machinery ACM, 2019. p. 307-308.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Spiking networks for improved cognitive abilities of edge computing devices

AU - Akusok, Anton

AU - Björk, Kaj-Mikael

AU - Espinosa-Leal, Leonardo

AU - Miche, Yoan

AU - Hu, Renjie

AU - Lendasse, Amaury

PY - 2019/6/5

Y1 - 2019/6/5

N2 - This concept paper highlights a recently opened opportunity for large scale analytical algorithms to be trained directly on edge devices. Such approach is a response to the arising need of processing data generated by natural person (a human being), also known as personal data. Spiking Neural networks are the core method behind it: suitable for a low latency energy-constrained hardware, enabling local training or re-training, while not taking advantage of scalability available in the Cloud.

AB - This concept paper highlights a recently opened opportunity for large scale analytical algorithms to be trained directly on edge devices. Such approach is a response to the arising need of processing data generated by natural person (a human being), also known as personal data. Spiking Neural networks are the core method behind it: suitable for a low latency energy-constrained hardware, enabling local training or re-training, while not taking advantage of scalability available in the Cloud.

KW - Edge computing

KW - Interactive computation

KW - Spiking neural networks

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U2 - 10.1145/3316782.3321546

DO - 10.1145/3316782.3321546

M3 - Conference article in proceedings

SN - 978-1-4503-6232-0

SP - 307

EP - 308

BT - Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

A2 - Makedon, Filia

PB - Association for Computing Machinery ACM

CY - New York

T2 - 12th PErvasive Technologies Related to Assistive Environments Conference (PETRA '19)

Y2 - 5 June 2019 through 7 June 2019

ER -

Akusok A, Björk KM, Espinosa-Leal L, Miche Y, Hu R, Lendasse A. Spiking networks for improved cognitive abilities of edge computing devices. In Makedon F, editor, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments: PETRA '19. New York: Association for Computing Machinery ACM. 2019. p. 307-308 doi: 10.1145/3316782.3321546

Spiking networks for improved cognitive abilities of edge computing devices

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