tree: 87f8f59e70f9f865284824e667aa2047d2afa97e [path history] [tgz]
  1. features/
  2. BUILD.gn
  3. DEPS
  4. DIR_METADATA
  5. floc_constants.cc
  6. floc_constants.h
  7. floc_id.cc
  8. floc_id.h
  9. floc_id_unittest.cc
  10. floc_sorting_lsh_clusters_service.cc
  11. floc_sorting_lsh_clusters_service.h
  12. floc_sorting_lsh_clusters_service_unittest.cc
  13. OWNERS
  14. README.md
  15. sim_hash.cc
  16. sim_hash.h
  17. 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).