Paper Abstract and Keywords |
Presentation |
2022-12-13 11:05
A Study On the Impact of Network Topology on the Efficiency of Distributed Online Kernel Learning Koki Takamori, Taichi Emi, Han Nay Aung, Keita Goto, Hiroyuki Ohsaki (Kwansei Univ.) IA2022-58 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Distributed learning, which estimates the parameters of a nonlinear model from nonlinear data observed at each distributed node in a network without aggregating the data at a single location, has been attracting attention.
In particular, by approximating the kernel function using random Fourier features
distributed and online nonlinear learning.
Bouboulis et al. have proposed a distributed online kernel-based learning algorithm RFF-DOKL (Random Fourier Features Distributed Online Kernel-based Learning) using random Fourier features.
On the other hand, the effect of network topology on the efficiency of RFF-DOKL has not been fully clarified.
In this paper, we experimentally investigate the effect of network topology on the efficiency of RFF-DOKL, distributed online kernel-based learning algorithm. Specifically, we experimentally analyze the relationship between total traffic and model accuracy when distributed online learning of nonlinear functions is performed using RFF-DOKL with Gaussian kernels on four different network topologies (series, ring, star, and mesh) with the same number of nodes. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
RFF (Random Fourier Features) / RFF-DOKL (Random Fourier Features Distributed Online Kernel-based Learning) / Kernel-based Learning / Distributed Learning / Network Topology / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 306, IA2022-58, pp. 56-59, Dec. 2022. |
Paper # |
IA2022-58 |
Date of Issue |
2022-12-05 (IA) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IA2022-58 |
Conference Information |
Committee |
IN IA |
Conference Date |
2022-12-12 - 2022-12-13 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Higashi-Senda campus, Hiroshima Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
Paper Information |
Registration To |
IA |
Conference Code |
2022-12-IN-IA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study On the Impact of Network Topology on the Efficiency of Distributed Online Kernel Learning |
Sub Title (in English) |
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Keyword(1) |
RFF (Random Fourier Features) |
Keyword(2) |
RFF-DOKL (Random Fourier Features Distributed Online Kernel-based Learning) |
Keyword(3) |
Kernel-based Learning |
Keyword(4) |
Distributed Learning |
Keyword(5) |
Network Topology |
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1st Author's Name |
Koki Takamori |
1st Author's Affiliation |
Kwaisei Gakuin University (Kwansei Univ.) |
2nd Author's Name |
Taichi Emi |
2nd Author's Affiliation |
Kwaisei Gakuin University (Kwansei Univ.) |
3rd Author's Name |
Han Nay Aung |
3rd Author's Affiliation |
Kwaisei Gakuin University (Kwansei Univ.) |
4th Author's Name |
Keita Goto |
4th Author's Affiliation |
Kwaisei Gakuin University (Kwansei Univ.) |
5th Author's Name |
Hiroyuki Ohsaki |
5th Author's Affiliation |
Kwaisei Gakuin University (Kwansei Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-12-13 11:05:00 |
Presentation Time |
25 minutes |
Registration for |
IA |
Paper # |
IA2022-58 |
Volume (vol) |
vol.122 |
Number (no) |
no.306 |
Page |
pp.56-59 |
#Pages |
4 |
Date of Issue |
2022-12-05 (IA) |
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