Radio Resource Management for Machine Learning on the Edge
Grant Data
Project Title
Radio Resource Management for Machine Learning on the Edge
Principal Investigator
Professor Huang, Kaibin
(Principal Investigator (PI))
Co-Investigator(s)
Dr Wu Yik Chung
(Co-Investigator)
Duration
36
Start Date
2020-01-01
Completion Date
2022-12-31
Amount
462342
Conference Title
Radio Resource Management for Machine Learning on the Edge
Keywords
MIMO, OFDMA, Radio resource management, SDMA
Discipline
CommunicationNetwork
Panel
Engineering (E)
HKU Project Code
17208319
Grant Type
General Research Fund (GRF)
Funding Year
2019
Status
Completed
Objectives
1) Designing a new class of techniques called data-importance aware retransmission for active data/update acquisition to accelerate edge learning; 2) Designing a new class of techniques called importance aware scheduling for active data acquisition for the paradigm of centralised edge learning; 3) Designing a new class of techniques called importance aware scheduling for active update acquisition for the paradigm of federate edge learning.