Graph Split Federated Learning for Distributed Large-Scale AIoT in Smart Cities
The rise of smart cities has leveraged the power of Internet of Things devices to transform urban services. A key element of this transformation is the widespread deployment of IoT devices for data collection, which feeds into machine learning algorithms to improve city services. However, the centra...
Saved in:
| Main Authors: | Hanyue Xu, Kah Phooi Seng, Li-Minn Ang, Wei Wang, Jeremy Smith |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11050992/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating AIoT Technologies in Aquaculture: A Systematic Review
by: Fahmida Wazed Tina, et al.
Published: (2025-04-01) -
AIoT Monitoring for Early Identification of Diseases in Grapevines: Complete Study
by: Mihaela Hnatiuc, et al.
Published: (2025-01-01) -
Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks
by: Aysha-Thahsin Zahir-Ismail, et al.
Published: (2025-08-01) -
Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs
by: Hamed Nozari, et al.
Published: (2025-01-01) -
GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence
by: Mohd Anjum, et al.
Published: (2025-08-01)