via “federated-learning-training-orchestration”
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) i
Unique: Implements pluggable communication backends (MQTT, TRPC) allowing federated learning across heterogeneous infrastructure (cloud, edge, mobile) without vendor lock-in, combined with ServerAggregator/ClientTrainer interface abstraction enabling algorithm-agnostic training orchestration
Supports training on mobile devices and edge hardware natively (via Android SDK and cross-platform runtime) whereas TensorFlow Federated and PySyft focus primarily on server-to-server federation