Title:
METHOD AND DEVICE FOR PERFORMING DATA LEARNING IN WIRELESS COMMUNICATION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/013857
Kind Code:
A1
Abstract:
A terminal operation method in a wireless communication system of the present disclosure may comprise the steps in which: a terminal receives a reference signal for channel state information measurement from a base station; the terminal performs measurement on the basis of the received reference signal; the measurement is reported to the base station on the basis of the performed measurement; and learning is performed by receiving subnet information and a dropout rate determined by the base station, on the basis of the measurement report.
Inventors:
JEON KIJUN (KR)
WEN DINGZHU (CN)
HUANG KAIBIN (CN)
LEE SANGRIM (KR)
WEN DINGZHU (CN)
HUANG KAIBIN (CN)
LEE SANGRIM (KR)
Application Number:
PCT/KR2022/007049
Publication Date:
February 09, 2023
Filing Date:
May 17, 2022
Export Citation:
Assignee:
LG ELECTRONICS INC (KR)
UNIV HONG KONG (CN)
UNIV HONG KONG (CN)
International Classes:
G06N3/04; G06N3/08; G06N20/20
Foreign References:
| KR20210080756A | 2021-07-01 |
Other References:
SAMUEL HORVATH; STEFANOS LASKARIDIS; MARIO ALMEIDA; ILIAS LEONTIADIS; STYLIANOS I. VENIERIS; NICHOLAS D. LANE: "FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 4 June 2021 (2021-06-04), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081979363
WADU MADHUSANKA MANIMEL, SAMARAKOON SUMUDU, BENNIS MEHDI: "Federated Learning under Channel Uncertainty: Joint Client Scheduling and Resource Allocation", ARXIV.ORG, 6 February 2020 (2020-02-06), pages 1 - 6, XP093032827, DOI: 10.48550/arXiv.2002.00802
BOUACIDA NADER; HOU JIAHUI; ZANG HUI; LIU XIN: "Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning", IEEE INFOCOM 2021 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), IEEE, 10 May 2021 (2021-05-10), pages 1 - 6, XP033944198, DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484526
WEN DINGZHU; JEON KI-JUN; HUANG KAIBIN: "Federated Dropout—A Simple Approach for Enabling Federated Learning on Resource Constrained Devices", IEEE WIRELESS COMMUNICATIONS LETTERS, IEEE, PISCATAWAY, NJ, USA, vol. 11, no. 5, 8 February 2022 (2022-02-08), Piscataway, NJ, USA , pages 923 - 927, XP011908014, ISSN: 2162-2337, DOI: 10.1109/LWC.2022.3149783
WADU MADHUSANKA MANIMEL, SAMARAKOON SUMUDU, BENNIS MEHDI: "Federated Learning under Channel Uncertainty: Joint Client Scheduling and Resource Allocation", ARXIV.ORG, 6 February 2020 (2020-02-06), pages 1 - 6, XP093032827, DOI: 10.48550/arXiv.2002.00802
BOUACIDA NADER; HOU JIAHUI; ZANG HUI; LIU XIN: "Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning", IEEE INFOCOM 2021 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), IEEE, 10 May 2021 (2021-05-10), pages 1 - 6, XP033944198, DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484526
WEN DINGZHU; JEON KI-JUN; HUANG KAIBIN: "Federated Dropout—A Simple Approach for Enabling Federated Learning on Resource Constrained Devices", IEEE WIRELESS COMMUNICATIONS LETTERS, IEEE, PISCATAWAY, NJ, USA, vol. 11, no. 5, 8 February 2022 (2022-02-08), Piscataway, NJ, USA , pages 923 - 927, XP011908014, ISSN: 2162-2337, DOI: 10.1109/LWC.2022.3149783
Attorney, Agent or Firm:
SUNG, Byung Kee (KR)
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