Presentation 2021-10-07
[Invited Talk] Wireless Communication Quality Prediction Technology Based on Personal User Information Using Federated Learning
Koki Horita, Masanobu Jimbo, Bin Yang,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NS2021-69
Date of Issue 2021-09-29 (NS)

Conference Information
Committee NS
Conference Date 2021/10/6(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Network architecture (Overlay, P2P, Ubiquitous network, Scale-free network, Active network, NGN/NwGN, IoT, Edge computing, Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc.
Chair Akihiro Nakao(Univ. of Tokyo)
Vice Chair Tetsuya Oishi(NTT)
Secretary Tetsuya Oishi(NTT)
Assistant Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Wireless Communication Quality Prediction Technology Based on Personal User Information Using Federated Learning
Sub Title (in English) The Challenge of Balancing Privacy Protection and Communication Quality Prediction
Keyword(1)
1st Author's Name Koki Horita
1st Author's Affiliation Sony(Sony)
2nd Author's Name Masanobu Jimbo
2nd Author's Affiliation Sony Group(Sony)
3rd Author's Name Bin Yang
3rd Author's Affiliation Sony Group(Sony)
Date 2021-10-07
Paper # NS2021-69
Volume (vol) vol.121
Number (no) NS-185
Page pp.pp.13-13(NS),
#Pages 1
Date of Issue 2021-09-29 (NS)