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khoaguin/README.md

Hey there 👋 I'm Khoa. 🔭 I’m currently working on privacy-preserving, distributed AI

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  1. OpenMined/PySyft OpenMined/PySyft Public

    Perform data science on data that remains in someone else's server

    Python 10k 2k

  2. OpenMined/syft-flwr OpenMined/syft-flwr Public

    Easy Setup, File-based, Offline Capable Federated Learning and Computations

    Python 23 6

  3. ScreamingFace/screamingface ScreamingFace/screamingface Public

    ScreamingFace is an open toolkit for composing model fusions: several models answering together, graded against a real research benchmark. Every run reproduces from a single line, on your own keys.

    Python 10

  4. PocketHHE PocketHHE Public

    An Integer-only, Lightweight Privacy-preserving Machine Learning Framework with Hybrid Homomorphic Encryption

    C++ 9 2

  5. HESplitNet HESplitNet Public

    Two-party Privacy-preserving Neural Network Training using Split Learning and Homomorphic Encryption (CKKS Scheme)

    Python 13 4

  6. stanford-CME295-transformers-llms-2025-notes stanford-CME295-transformers-llms-2025-notes Public

    Comprehensive lecture notes for CME 295 - Transformers & Large Language Models (2025)

    17 3