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    Chapter and Conference Paper

    DeepFP for Finding Nash Equilibrium in Continuous Action Spaces

    Finding Nash equilibrium in continuous action spaces is a challenging problem and has applications in domains such as protecting geographic areas from potential attackers. We present DeepFP, an approximate ext...

    Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang… in Decision and Game Theory for Security (2019)

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    Chapter and Conference Paper

    Towards Sparsified Federated Neuroimaging Models via Weight Pruning

    Federated training of large deep neural networks can often be restrictive due to the increasing costs of communicating the updates with increasing model sizes. Various model pruning techniques have been design...

    Dimitris Stripelis, Umang Gupta… in Distributed, Collaborative, and Federated … (2022)