Implementation of fully distributed Federated Learning through the use of network consensus processes. A subtype of Recurrent Neural Networks called Echo State Networks is trained, whose main characteristic is that its structure is randomly generated at the time of model creation.
What is the PicoAaron/TFM-Federated-Learning-and-ESN GitHub project? Description: "Implementation of fully distributed Federated Learning through the use of network consensus processes. A subtype of Recurrent Neural Networks called Echo State Networks is trained, whose main characteristic is that its structure is randomly generated at the time of model creation.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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