Beyond the Monolith: A Technical Deep Dive into Federated Learning Architectures
The traditional paradigm of centralized machine learning—where data is siphoned from edge devices to a central cloud for training—faces a critical bottleneck: privacy. With regulations like GDPR and HIPAA tightening data governance, and network bandwidth constraints limiting large-scale data tran...