Federated Learning: Training AI Without Stealing User Data
Federated Learning is shifting AI training from centralized servers to local devices. By moving the model to the data, developers can solve privacy silos and reduce latency. Senior developer Ahmad Wael explains the mechanics of Federated Averaging (FedAvg) and why keeping raw data local is the future of edge computing.