Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control

Understand

Federated Learning (FL) refers to distributed protocols that avoid direct raw data exchange among the participating devices while training for a common learning task.

• This way, FL can potentially reduce the information on the local data sets that is leaked via communications.
• In order to provide formal privacy guarantees, however, it is generally necessary to put in place additional masking mechanisms.
• When FL is implemented in wireless systems via uncoded transmission, the channel noise can directly act as a privacy-inducing mechanism.