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Confidential Computing
2 resourcesPrivacy
TEEs, secure enclaves, and hardware-based AI privacy
paper reviewed open access 2024
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
Herbert Woisetschlager, Alexander Isenko, Shiqiang Wang + 2 more — arXiv preprint
Examines federated learning approaches for fine-tuning LLMs on edge devices, analyzing privacy guarantees, communication efficiency, and security trade-offs.
paper reviewed open access 2024
Confidential Computing for AI Workloads: Survey and Best Practices
Microsoft Azure Confidential Computing Team — Microsoft Research
Surveys confidential computing technologies (SGX, SEV, TDX) applied to AI workloads covering secure training, inference, and multi-party computation.