Federated and private learning
A research field
Federated and private learning is losing ground in AI research: 1.6% to 1.6% of new AI papers, -0.0 points. It ranks #20 of 44 by gain in share. As of Oct 10, 2026.
- Change in share
- -0.0 pts
- Share, last 3 months
- 1.6%
- Papers, last 3 months
- 521
- Ready for products
- 2.2 / 5
Ideas in this field
Personalized federated learning0.1% → 0.1%+0.0 ptsFederated learning0.1% → 0.1%+0.0 ptsCommunication efficient federated learning0.1% → 0.1%+0.0 ptsSplit learning0.0% → 0.1%0.0 ptsSecure multiparty computation0.0% → 0.0%0.0 ptsPrivacy utility tradeoff0.0% → 0.0%0.0 ptsFederated fine tuning0.1% → 0.1%0.0 ptsHomomorphic encryption0.0% → 0.0%0.0 ptsFederated unlearning0.1% → 0.0%0.0 ptsPrivacy preserving machine learning0.1% → 0.1%0.0 pts
Companies working on it
Federated and private learning: quick answers
No. Its share of new AI papers went from 1.6% to 1.6%, with 521 papers in the last 3 months.