ICC 2022 - IEEE International Conference on Communications 2022
DOI: 10.1109/icc45855.2022.9838329
|View full text |Cite
|
Sign up to set email alerts
|

Resource Allocation for Time-triggered Federated Learning over Wireless Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…Owing to the high communication efficiency gained in synchronized training settings, Sync FL algorithms are widely studied in wireless networks [17][18][19][20][21], and the main challenges of its wireless implementation lie in the resource-constrained and unreliable nature of wireless networks. Due to limited communication resource budgets, the user selection problem 1 Aggregation deadline may apply to avoid useless waiting for offline users.…”
Section: Introductionmentioning
confidence: 99%
“…Owing to the high communication efficiency gained in synchronized training settings, Sync FL algorithms are widely studied in wireless networks [17][18][19][20][21], and the main challenges of its wireless implementation lie in the resource-constrained and unreliable nature of wireless networks. Due to limited communication resource budgets, the user selection problem 1 Aggregation deadline may apply to avoid useless waiting for offline users.…”
Section: Introductionmentioning
confidence: 99%