Author

S. Misra

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Conference Sep 2026

Mitigating Gradient Leakage in Asynchronous Federated Learning via Orthogonal Obfuscation

The Federated Learning (FL) paradigm, while promising for decentralized training, remains susceptible to privacy breaches via gradient leakage. While numerous defenses have been established for synchronous systems, these mechanisms often rely on batched aggregation to mask individual contributions, a property absent in...

Shamim Yazdani, Noah Guzinski, George Torres et al. · IEEE Conference on Communica... · 0 citations

Review Jul 2026

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

This survey provides a structured review of generative AI and FL techniques for IDS and categorizes generative AI applications in IDS according to model families and task objectives, covering autoencoder-based models, Generative Adversarial Networks (GANs), diffusion models, and Large Language Models (LLMs).

Jiefei Liu, A. S. Tayeen, Pratyay Kumar et al. · 1 citation