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Found 3 papers, 1 papers with code
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks
Quantum Neural Networks (QNNs) are a popular approach in Quantum Machine Learning due to their close connection to Variational Quantum Circuits, making them a promising candidate for practical applications on Noisy Intermediate-Scale Quantum (NISQ) devices.
Dynamically Weighted Federated k-Means
Federated clustering, an integral aspect of federated machine learning, enables multiple data sources to collaboratively cluster their data, maintaining decentralization and preserving privacy.
Fed-DART and FACT: A solution for Federated Learning in a production environment
Federated Learning as a decentralized artificial intelligence (AI) solution solves a variety of problems in industrial applications.
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