Example: barber

Personalized Federated Learning using Hypernetworks

Federated learning (FL) is the task of learning a model over multiple disjoint local datasets (McMahan et al., 2017a; Yang et al., 2019). It is particularly useful when local data cannot be shared due to privacy, storage, or communication constraints. This is …

Tags:

  Federated

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Transcription of Personalized Federated Learning using Hypernetworks

Related search queries