Federated & privacy-preserving learning
Federated & privacy-preserving learning covers frameworks for training across data silos or devices without centralizing data: federated learning, split learning, secure aggregation.
In brief
Federated & privacy-preserving learning, in brief.
What it isFederated & privacy-preserving learning covers frameworks for training across data silos or devices without centralizing data: federated learning, split learning, secure aggregation.
Where it sitsOne of 12 categories in the Training and fine-tuning layer. Training and fine-tuning covers the frameworks, libraries and platforms used to train a model from scratch or adapt an existing one to a task, and the tools that track those experiments.
What we track22 products, including Apheris, Concrete ML (FHE ML), CrypTen, Duality Technologies and FATE.
The products
22 products in Federated & privacy-preserving learning.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
Federated & privacy-preserving learning, answered.
What is Federated & privacy-preserving learning in AI infrastructure?Federated & privacy-preserving learning covers frameworks for training across data silos or devices without centralizing data: federated learning, split learning, secure aggregation.
Which layer of AI infrastructure is Federated & privacy-preserving learning in?Federated & privacy-preserving learning is in the Training and fine-tuning layer. Training and fine-tuning covers the frameworks, libraries and platforms used to train a model from scratch or adapt an existing one to a task, and the tools that track those experiments.
Which products are in Federated & privacy-preserving learning?We track 22 products in Federated & privacy-preserving learning, including Apheris, Concrete ML (FHE ML), CrypTen, Duality Technologies, FATE, Fed-BioMed, FederatedScope and FedML / TensorOpera Federate. The full list is on this page.
Training and fine-tuning