Author

Zachary Garrett

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Preprint Sep 2026

Toward provably private learning from federated data

A next-generation FL system based on Trusted Execution Environments (TEEs) is presented that addresses operational challenges associated with earlier systems and provides externally verifiable central Differential Privacy (DP) guarantees for the first time while offering a better privacy-utility tradeoff.

Katharine Daly, Yu Xiao, Zachary Garrett et al. · 0 citations

Preprint Sep 2026

Toward verifiably private learning from federated data

Federated Learning (FL) allows devices with private data to collaborate in training a shared model. We present a next-generation FL system based on Trusted Execution Environments (TEEs) that addresses operational challenges associated with earlier systems and provides externally verifiable central Differential Privacy...

Katharine Daly, Yu Xiao, Zachary Garrett et al. · 0 citations