Federated Codebook for Multi - User Deep Source Coding

Chae Hoon Park, Jinhyuk Choi, Jihong Park, Seong Lyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper investigates Deep Learning based Source Coding (DeepS C) with multiple users. While most of the existing works focus on a single pair of DeepSC transceivers, we consider multiple pairs of transceivers, each of which is modeled as a Vector Quantized Variational Autoencoder (VQ-VAE) architecture. Furthermore, in contrast to existing DeepSC works exploiting the trainability of encoders and decoders, in this work we focus on the trainability of codebooks. Inspired from this and Federated Learning (FL), we propose a novel DeepSC framework with federated codebook (FC- DeepSC) wherein each transceiver iteratively exchanges their codebooks during training, so as to construct an averaged global codebook that is downloaded by each transceiver. Simulation results corroborate that FC- DeepSC achieves faster convergence than DeepSC.

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages994-996
Number of pages3
ISBN (Electronic)9781665499392
DOIs
Publication statusPublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 2022 Oct 192022 Oct 21

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1922/10/21

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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