Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
<p>Human behavior significantly impacts domestic energy consumption, making it essential to monitor and improve these consumption patterns. Traditional methods often rely on centralized servers to gather and analyze consumption data, which can lead to significant privacy risks as personalized...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!