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🔐 FATE — промышленный фреймворк для федеративного обучения. Этот проект под эгидой Linux Foundation позволяет компаниям совместно обучать ML-модели, не объединяя исходные данные. В основе — комбинация гомоморфного шифрования и MPC-протоколов, обеспечивающие безопасность на уровне промышленных стандартов.

Фреймворк обладает большим разнообразием сценариев: от классических алгоритмов вроде логистической регрессии до трансферного обучения и работы с LLM. Модульная архитектура делает решение гибким для разных инфраструктур.

🤖 GitHub

@machinelearning_ru

Машинное обучение RU
🔐 FATE — промышленный фреймворк для федеративного обучения. Этот проект под эгидой Linux Foundation позволяет компаниям совместно обучать ML-модели, не объединяя исходные данные. В основе — комбинация гомоморфного шифрования и MPC-протоколов, обеспечивающие безопасность на уровне промышленных стандартов.

Фреймворк обладает большим разнообразием сценариев: от классических алгоритмов вроде логистической регрессии до трансферного обучения и работы с LLM. Модульная архитектура делает решение гибким для разных инфраструктур.

🤖 GitHub

@machinelearning_ru
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🔐 FATE — промышленный фреймворк для федеративного обучения. Этот проект под эгидой Linux Foundation позволяет компаниям совместно обучать ML-модели

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