Federated learning: a comprehensive review of recent advances and applications
Federated Learning is a promising technique for preserving data privacy that enables
communication between distributed nodes without the need for a central server. Previously …
communication between distributed nodes without the need for a central server. Previously …
Distributed few-shot learning for intelligent recognition of communication jamming
Effective recognition of communication jamming is of vital importance in improving wireless
communication system's anti-jamming capability. Motivated by the major challenges that the …
communication system's anti-jamming capability. Motivated by the major challenges that the …
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 …
Fedbkd: Heterogenous federated learning via bidirectional knowledge distillation for modulation classification in iot-edge system
P Qi, X Zhou, Y Ding, Z Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Benefit from the rapid evolution of artificial intelligence and wireless communication
technology, diverse Internet of Things (IoT) devices with edge computing ability have widely …
technology, diverse Internet of Things (IoT) devices with edge computing ability have widely …
Distributed Raman spectrum data augmentation system using federated learning with deep generative models
Y Kim, W Lee - Sensors, 2022 - mdpi.com
Chemical agents are one of the major threats to soldiers in modern warfare, so it is so
important to detect chemical agents rapidly and accurately on battlefields. Raman …
important to detect chemical agents rapidly and accurately on battlefields. Raman …
Distributed traffic synthesis and classification in edge networks: A federated self-supervised learning approach
With the rising demand for wireless services and increased awareness of the need for data
protection, existing network traffic analysis and management architectures are facing …
protection, existing network traffic analysis and management architectures are facing …
Toward the Automatic Modulation Classification With Adaptive Wavelet Network
With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …
modulation classification (AMC) has played an increasing role in the complex wireless …
Data privacy security guaranteed network intrusion detection system based on federated learning
With the development of computer software, the amount of network data has increased
geometrically. Therefore, how to quickly identify attacks from a large amount of network …
geometrically. Therefore, how to quickly identify attacks from a large amount of network …
A distributed attack-resistant trust model for automatic modulation classification
Recently, the performance of automatic modulation recognition (AMC) has been
dramatically improved with the assistance of federated learning (FL). However, FL-based …
dramatically improved with the assistance of federated learning (FL). However, FL-based …
Resource optimization for signal recognition in satellite MEC with federated learning
Currently, limited resources and data privacy have influenced the development of signal
modulation recognition in satellite communications. To solve the above issues, mobile edge …
modulation recognition in satellite communications. To solve the above issues, mobile edge …