Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks-Reference-Cited by-同舟云学术

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Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks

Published:2024-06-11 Issue: Volume: Page:1-10
ISSN:
Container-title:2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet)
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Author:

Khalil Ahmad¹,Lotfian Delouee Majid²,Degeler Victoria³,Mcuser Tobias¹,Anta Antonio Fernandez⁴,Koldehofe Boris⁵

Affiliation:

1. Technical University of Darmstadt,Multimedia Communications Lab,Germany

2. Bernoulli Institute, University of Groningen,Netherlands

3. Informatics Institute, University of Amsterdam,Netherlands

4. Networks Institute,IMDEA,Spain

5. Institute of Applied Computer Science, Technische Universitat,Ilmenau,Germany

Funder

German Research Foundation (DFG)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577997/10578125/10578208.pdf?arnumber=10578208

Reference31 articles.

1. AQuA-CEP: Adaptive Quality-Aware Complex Event Processing in the Internet of Things

2. Towards adaptive quality-aware Complex Event Processing in the Internet of Things

3. Situational Collective Perception: Adaptive and Efficient Collective Perception in Future Vehicular Systems

4. A survey on federated learning

5. Poster: Towards Pattern-Level Privacy Protection in Distributed Complex Event Processing

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