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Found 2 papers, 1 papers with code
Federated Learning with Personalization Layers
The emerging paradigm of federated learning strives to enable collaborative training of machine learning models on the network edge without centrally aggregating raw data and hence, improving data privacy.
Data-Driven Compression of Convolutional Neural Networks
Designing and training a CNN architecture that does well on all three metrics is highly non-trivial and can be very time-consuming if done by hand.
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