The Effects of Weight Quantization on Online Federated Learning for the IoT: A Case Study (2024)
Attributed to:
DiPET: Distributed Stream Processing on Fog and Edge Systems via Transprecise Computing
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/access.2024.3349557
Publication URI: http://dx.doi.org/10.1109/access.2024.3349557
Type: Journal Article/Review
Parent Publication: IEEE Access