distributed-learning
Expanded definition
Distributed learning allows for training models on large datasets that cannot fit on a single machine. This approach can significantly reduce the time required for training by leveraging the computational power of multiple devices working in parallel. A common misconception is that it always results in better performance; however, it often depends on the communication efficiency and data synchronization between nodes.
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distributed-learning FAQ
What is distributed-learning?
A machine learning paradigm where the training data is distributed across multiple devices or nodes.
How is distributed-learning used in AI systems?
Distributed learning allows for training models on large datasets that cannot fit on a single machine. This approach can significantly reduce the time required for training by leveraging the computational power of multiple devices working in parallel. A common misconception is that it always results in better performance; however, it often depends on the communication efficiency and data synchron...
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