On-Device Federated Learning with Differential Privacy on iOS and Android
An enterprise privacy-preserving AI architecture guide. We analyze FedAvg gradient aggregation, Gaussian differential privacy noise injection, Secure Enclave local training, and training mobile ML models without centralizing user data.
9/2/202624 min read