Being Compatible With Any Programming Language And Machine Learning Framework; Flower Team Releases Flower 0.18 With Cool New Updates For Federated Learning

Flower is an end-to-end federated learning framework that allows for a smoother transition from simulation-based experimental research to system research on many real-world edge devices. Flower has individual strengths in both domains (i.e., simulation and real-world devices) and the capacity to switch back and forth between the two extremes as needed throughout exploration and development. […]

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