SAFE: Secure Aggregation with Failover and Encryption

Understand

We propose and experimentally evaluate a novel secure aggregation algorithm targeted at cross-organizational federated learning applications with a fixed set of participating learners.

• Our solution organizes learners in a chain and encrypts all traffic to reduce the controller of the aggregation to a mere message broker.
• We show that our algorithm scales better and is less resource demanding than existing solutions, while being easy to implement on constrained platforms.
• With 36 nodes our method outperforms state-of-the-art secure aggregation by 70x, and 56x with and without failover, respectively.