On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations. (arXiv:2208.11848v1 [cs.CR])

In this work, we consider a federated learning model in a wireless system
with multiple base stations and inter-cell interference. We apply a
differential private scheme to transmit information from users to their
corresponding base station during the learning phase. We show the convergence
behavior of the learning process by deriving an upper bound on its optimality
gap. Furthermore, we define an optimization problem to reduce this upper bound
and the total privacy leakage. To find the locally optimal solutions …

base differential privacy federated learning privacy systems wireless