HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks

Nguyen, M-D; Lee, S-M; Pham, Q-V; Hoang, DT; Nguyen, DN; Hwang, W-J

HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks

Nguyen, M-D Lee, S-M Pham, Q-V Hoang, DT Nguyen, DN Hwang, W-J

Permalink

Publication Type:: Journal Article
Citation:: IEEE Transactions on Mobile Computing, 2022, PP, (99), pp. 1-13
Issue Date:: 2022-07-14

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

The embargo period expires on 13 Jul 2024

Adobe PDF

Download Accepted versionAdobe PDF (1.04 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Nguyen, M-D
dc.contributor.author	Lee, S-M
dc.contributor.author	Pham, Q-V
dc.contributor.author	Hoang, DT
dc.contributor.author	Nguyen, DN
dc.contributor.author	Hwang, W-J
dc.date.accessioned	2022-07-28T03:47:27Z
dc.date.available	2022-07-28T03:47:27Z
dc.date.issued	2022-07-14
dc.identifier.citation	IEEE Transactions on Mobile Computing, 2022, PP, (99), pp. 1-13
dc.identifier.issn	1536-1233
dc.identifier.uri	http://hdl.handle.net/10453/159286
dc.language	en
dc.relation	http://purl.org/au-research/grants/arc/DE210100651
dc.relation.ispartof	IEEE Transactions on Mobile Computing
dc.relation.isbasedon	10.1109/tmc.2022.3190510
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2024-07-13T00:00:00+1000Z
dc.date.updated	2022-07-28T03:47:26Z
pubs.issue	99
pubs.volume	PP
utslib.citation.issue	99

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/159286