tree: a0c0ece7f1fb810b8f39366d38994bd394e69951 [path history] [tgz]
  1. BUILD.gn
  2. DEPS
  3. floc_constants.cc
  4. floc_constants.h
  5. floc_id.cc
  6. floc_id.h
  7. floc_id_unittest.cc
  8. floc_sorting_lsh_clusters_service.cc
  9. floc_sorting_lsh_clusters_service.h
  10. floc_sorting_lsh_clusters_service_unittest.cc
  11. OWNERS
  12. README.md
  13. sim_hash.cc
  14. sim_hash.h
  15. sim_hash_unittest.cc
components/federated_learning/README.md

Federated Learning Component

The FLoC (Federated Learning of Cohorts) project aims to group users based on their browsing habits in a privacy preserving way, that would allow interest-based advertising without exposing a user’s browsing history.

This component contains data types (e.g. FlocID) that other layers could access (e.g. chrome/browser, services/network).