IPLS : A Framework for Decentralized Federated Learning

1 code implementation • 6 Jan 2021 • Christodoulos Pappas, Dimitris Chatzopoulos, Spyros Lalis, Manolis Vavalis

The proliferation of resourceful mobile devices that store rich, multidimensional and privacy-sensitive user data motivate the design of federated learning (FL), a machine-learning (ML) paradigm that enables mobile devices to produce an ML model without sharing their data.

Federated Learning