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Weight-Agnostic Federated Neural Architecture Search
Federated learning (FL) is envisaged to be a promising solution for collaboratively training a machine learning model while keeping the training data decentralized and private. For example, in FL, different participants might have different samples of data from different classes. Some participants might have no samples from some of the subclasses...
Published: 10/29/2024   |   Inventor(s): Rida Bazzi, Om Thakkar
Keywords(s): Algorithm Development, Machine Learning, PS-Computing and Information Technology
Category(s): Artificial Intellegence/Machine Learning, Computing & Information Technology, Physical Science