On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys. (arXiv:2204.11364v2 [cs.IT] UPDATED)

Secure aggregation, which is a core component of federated learning,
aggregates locally trained models from distributed users at a central server.
The ``secure'' nature of such aggregation consists of the fact that no
information about the local users' data must be leaked to the server except the
aggregated local models. In order to guarantee security, some keys may be
shared among the users. After the key sharing phase, each user masks its
trained model which is then sent to the …

aggregation data distributed fact federated learning guarantee information key keys leaked local locally may nature order security server sharing the key