Centralized
Artificial Intelligence
The Case for Centralized AI Model Inference Serving
models proceed to extend in scope and accuracy, even tasks once dominated by traditional algorithms are step by step being replaced by Deep Learning models. Algorithmic pipelines — workflows that take an input, process...
Artificial Intelligence
From Centralized to Federated Learning
A summary of dataset distribution techniques for Federated Learning on the CIFAR benchmark datasetFederated Learning (FL) is a technique to coach Machine Learning (ML) models in a distributed setting . The thought is that...
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