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Found 2 papers, 1 papers with code
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
Federated Learning (FL) has garnered significant interest recently due to its potential as an effective solution for tackling many challenges in diverse application scenarios, for example, data privacy in network edge traffic classification.
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions
This joint distribution is used in the body of the BO acquisition functions to search for local optima during the optimization process.
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