홍송남 프로필 사진

홍송남

Hong, Song nam

공과대학

융합전자공학부

Scopus ORCID

연구분야

  • AI for Communications, 
  • Fast Learning for Hyperscale AI, 
  • Reinforcement Learning, 
  • 강화학습, 
  • 초거대 인공지능을 위한 초고속 학습 알고리즘, 
  • 통신시스템을 위한 인공지능 알고리즘

자료 필터

자료유형

발행연도

2008 ~ 2026
2008 2026

키워드

언어

전체 45건 중 31번부터 40번까지의 결과를 표시합니다.

2022
Article

FedQOGD: Federated Quantized Online Gradient Descent with Distributed Time-Series Data

  • 2022-04
  • 2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
  • IEEE
Article

Fully-Decentralized Multi-Kernel Online Learning over Networks

  • 2022-02
  • 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
  • IEEE
Article

Construction of Error Correcting Output Codes for Robust Deep Neural Networks Based on Label Grouping Scheme

  • 2022-01
  • Proceedings of 2021 7th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2021
  • Institute of Electrical and Electronics Engineers Inc.
2021
Article

Quantized Distributed Online Kernel Learning

  • 2021-12
  • 12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION
  • IEEE
Article

Soft-Sign Stochastic Gradient Descent Algorithm for Wireless Federated Learning

  • Lee, Seunghoon ; 
  • Park, Chanho ; 
  • Hong, Songnam ; 
  • Eldar, Yonina C. ; 
  • Lee, Namyoon
  • 2021-11
  • IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
  • Institute of Electrical and Electronics Engineers Inc.
Article

Control of WPT Transmitter Coils for Power Distribution to Two Receiver Coils without Feedback

  • Heo, Jun ; 
  • Park, Sungyeal ; 
  • Kim, Sang-Won ; 
  • Cho, In-Kui ; 
  • Hong, Songnam ; 
  • 외 1명
  • 2021-10
  • Energies
  • MDPI
Article

Construction of 1-Bit Transmit Signal Vectors for Downlink MU-MISO Systems: QAM constellations

  • 2021-10
  • IEEE Transactions on Vehicular Technology
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Article

Active Learning With Multiple Kernels

  • 2021-01
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Article

Stream-Based Active Learning with Multiple Kernels

  • 2021-01
  • International Conference on Information Networking