AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work investigates combining Federated Learning with TinyML-based model compression for intrusion detection in IoT environments and preliminary results show that training stability plays a critical role in federated TinyML systems.
In this work we introduce a novel application of Large Language Models (LLMs) towards the classification of malicious Windows Portable Executable (WinPE) files. Rather than fine-tuning an LLM based on the raw binary of the samples serving as the corpus, in this case we leverage our in depth knowledge of the underlying...
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