AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work first proposes a model inversion attack on FL systems using Deep Convolutional Generative Adversarial Networks (DCGANs) in the context of large-scale medical imaging, and examines the effect of client-side differential privacy (DP) in mitigating privacy leakage and incorporate personalized FL to improve model...
The rapid growth of the Internet of Things (IoT) in critical domains such as healthcare, smart cities, cybersecurity, and finance has led to the generation of large volumes of distributed data and increased susceptibility to cyberattacks. Although federated learning (FL)-based intrusion detection systems (IDS) have bee...
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