Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

Author:

Ding Yahao1ORCID,Yang Zhaohui2ORCID,Pham Quoc-Viet3ORCID,Hu Ye4,Zhang Zhaoyang2ORCID,Shikh-Bahaei Mohammad1

Affiliation:

1. Engineering Department, King’s College London, UK

2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

3. School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland

4. Department of Industrial and Systems Engineering, University of Miami, Coral Gables, FL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 7 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. M-SET: Multi-Drone Swarm Intelligence Experimentation with Collision Avoidance Realism;2024 IEEE 49th Conference on Local Computer Networks (LCN);2024-10-08

2. Computational offloading into UAV swarm networks: a systematic literature review;EURASIP Journal on Wireless Communications and Networking;2024-09-07

3. Deep Reinforcement Learning-Based Automated Network Selection in Heterogenous CRNs;International Journal of Swarm Intelligence Research;2024-08-23

4. Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review;Drones;2024-05-12

5. Multi-criteria Knowledge-based decision-making functionality for swarm of drones;2024 Wireless Telecommunications Symposium (WTS);2024-04-10

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