Foundations of Quantum Federated Learning Over Classical and Quantum Networks

Author:

Chehimi Mahdi1ORCID,Chen Samuel Yen-Chi2,Saad Walid1ORCID,Towsley Don3ORCID,Debbah Mérouane4ORCID

Affiliation:

1. Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, USA

2. Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, USA

3. University of Massachusetts Amherst, Amherst, MA, USA

4. KU 6G Research Center, Khalifa University of Science and Technology, Abu Dhabi, UAE

Funder

MURI ARO

NSF

Zaiku Group

NSF- ERC Center for Quantum Networks

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

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1. Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions;Future Generation Computer Systems;2024-11

2. Quantum Computational Intelligence Techniques: A Scientometric Mapping;Archives of Computational Methods in Engineering;2024-09-07

3. A Data-Encoding Approach to Quantum Federated Learning: Experimenting with Cloud Challenges;Proceedings of the 8th Asia-Pacific Workshop on Networking;2024-08-03

4. A Personalized Quantum Federated Learning;Proceedings of the 8th Asia-Pacific Workshop on Networking;2024-08-03

5. FedQNN: Federated Learning using Quantum Neural Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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