# Google Research — Toward provably private learning from federated data

- Company: Google Research (research.google)
- Announced: 2026-10-02T14:57:41+00:00
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://research.google/blog/toward-provably-private-learning-from-federated-data/
- Record: https://forck.live/items/15749-toward-provably-private-learning-from-federated-data
- Subject: Research

Google Research announced a new Federated Learning system that uses Trusted Execution Environments (TEEs) to provide externally verifiable privacy guarantees. The system shifts computation to the server to improve training speed, accuracy, and device coverage. Gboard has already adopted the new system and is benefiting from substantially faster compute times.

## Evidence

Verbatim from https://research.google/blog/toward-provably-private-learning-from-federated-data/:

> We announce a new Federated Learning system that provides externally verifiable privacy guarantees while shifting computation to the server to improve training speed, accuracy, and device coverage.

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Record: https://forck.live/items/15749-toward-provably-private-learning-from-federated-data
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md
