A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery Systems-Reference-Cited by-同舟云学术

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A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery Systems

Published:2023-12-04 Issue: Volume: Page:1032-1039
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Dong Chengzu¹,Zhou Jingwen¹,Yao Aiting²,Xu Zhiyu³,Jiang Frank¹,Chen Shiping⁴,Liu Xiao¹

Affiliation:

1. Deakin University,Australia

2. Anhui University,China

3. Swinburne University of Technology,Australia

4. CSIRO Data 61,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411692.pdf?arnumber=10411692

Reference20 articles.

1. Energy-Efficient General PoI-Visiting by UAV with a Practical Flight Energy Model

2. Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks

3. Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

4. Federated Learning for IoUT: Concepts, Applications, Challenges and Future Directions

5. A Blockchain-aided Self-Sovereign Identity Framework for Edge-based UAV Delivery System

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing house inspections: UAVs integrated with LLMs for efficient AI-powered surveillance;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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