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Found 3 papers, 1 papers with code
Design of Induction Machines using Reinforcement Learning
The design of induction machine is a challenging task due to different electromagnetic and thermal constraints.
Clustered Federated Learning via Generalized Total Variation Minimization
Our main analytic contribution is an upper bound on the deviation between the local model parameters learnt by our algorithm and an oracle-based clustered federated learning method.
Local Graph Clustering with Network Lasso
We study the statistical and computational properties of a network Lasso method for local graph clustering.
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