federated learning

As biometric data undergo rapidly growing privacy concerns, building large-scale datasets has become more difficult. Unfortunately, current iris databases are mostly in small scale, e.g., thousands of iris images from hundreds of identities. What's …

Attributes skew hinders the current federated learning (FL) frameworks from consistent optimization directions among the clients, which inevitably leads to performance reduction and unstable convergence. The core problems lie in that: 1) …