A systematic literature review on federated machine learning: From a software engineering perspective
Federated learning is an emerging machine learning paradigm where clients train models
locally and formulate a global model based on the local model updates. To identify the state …
locally and formulate a global model based on the local model updates. To identify the state …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
DeepRadar: A deep-learning-based environmental sensing capability sensor design for CBRS
We present DeepRadar, a novel deep-learning-based environmental sensing capability
system for detecting radar signals and estimating their spectral occupancy. DeepRadar …
system for detecting radar signals and estimating their spectral occupancy. DeepRadar …
Federated learning for 6g: Paradigms, taxonomy, recent advances and insights
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
Federated learning-based spectrum occupancy detection
Ł Kułacz, A Kliks - Sensors, 2023 - mdpi.com
Dynamic access to the spectrum is essential for radiocommunication and its limited
spectrum resources. The key element of dynamic spectrum access systems is most often …
spectrum resources. The key element of dynamic spectrum access systems is most often …
Federated learning for 5G radio spectrum sensing
Spectrum sensing (SS) is an important tool in finding new opportunities for spectrum
sharing. The users, called Secondary Users (SU), who do not have a license to transmit …
sharing. The users, called Secondary Users (SU), who do not have a license to transmit …
A survey on citizens broadband radio service (cbrs)
To leverage the existing spectrum and mitigate the global spectrum dearth, the Federal
Communications Commission of the United States has recently opened the Citizens …
Communications Commission of the United States has recently opened the Citizens …
Privacy protection and efficient incumbent detection in spectrum sharing based on federated learning
Spectrum sharing techniques can greatly promote spectrum efficiency and mitigate the
congested wireless spectrum. During spectrum sharing, the lower access users, eg …
congested wireless spectrum. During spectrum sharing, the lower access users, eg …
Efficient and Secure Aggregation Framework for Federated Learning-Based Spectrum Sharing
Spectrum-sharing technology is used to alleviate the tension and scarcity of spectrum
resources, and federated learning can significantly enhance the performance of tasks, such …
resources, and federated learning can significantly enhance the performance of tasks, such …
Detection of Co-Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed
C Tassie, A Gaber, V Chaudhary… - IEEE …, 2023 - ieeexplore.ieee.org
Opening up of spectrum for shared use, such as the Citizen Radio Broadband Service
(CBRS) band, offers unprecedented opportunities for allowing commercial operators to …
(CBRS) band, offers unprecedented opportunities for allowing commercial operators to …