CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning

no code implementations • 16 Dec 2021 • Reent Schlegel, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat

For a scenario with 120 devices, CodedPaddedFL achieves a speed-up factor of 18 for an accuracy of 95% on the MNIST dataset compared to conventional FL.

Federated Learning

Coding for Straggler Mitigation in Federated Learning

no code implementations • 30 Sep 2021 • Siddhartha Kumar, Reent Schlegel, Eirik Rosnes, Alexandre Graell i Amat

The proposed scheme combines one-time padding to preserve privacy and gradient codes to yield resiliency against stragglers and consists of two phases.

Federated Learning