Communication-Efficient Federated Learning in Drone-Assisted IoT Networks: Path Planning and Enhanced Knowledge Distillation Techniques

Author:

Gad Gad1,Farrag Aya1,Fadlullah Zubair Md2,Fouda Mostafa M.3

Affiliation:

1. Lakehead University,Department of Computer Science,Thunder Bay,Canada

2. Western University,Department of Computer Science,London,Canada

3. Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA

Publisher

IEEE

Cited by 6 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. Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under Non-IID Challenges;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

3. Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

4. FedSafe-No KDC Needed: Decentralized Federated Learning with Enhanced Security and Efficiency;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06

5. Decentralized and Distributed Learning for AIoT: A Comprehensive Review, Emerging Challenges, and Opportunities;IEEE Access;2024

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