What is Flower?
It is an open-source framework for training AI on distributed data using federated learning. Federate any workload, any ML framework, and any programming language.
Flower is a tool in the Development & Training Tools category of a tech stack.
Key Features
ML framework agnosticCloud, mobile, edge & beyondPlatform independentExtendable
Flower Pros & Cons
Pros of Flower
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Cons of Flower
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Flower Alternatives & Comparisons
What are some alternatives to Flower?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
