#collaborativetraining — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #collaborativetraining, aggregated by home.social.
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#ModConFlex #MSCA researcher Ziqi Wang is a co-author of "FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning" Federated learning (FL) emerges as a promising framework for #Learning from #DistributedData while preserving privacy. It is useful in the #WindEnergy sector. For instance, it enables #CollaborativeTraining of #WindPower #ForecastingModels among multiple #WindFarms, overcoming challenges associated with #DataPrivacy and #CommercialCompetition.
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#ModConFlex #MSCA researcher Ziqi Wang is a co-author of "FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning" Federated learning (FL) emerges as a promising framework for #Learning from #DistributedData while preserving privacy. It is useful in the #WindEnergy sector. For instance, it enables #CollaborativeTraining of #WindPower #ForecastingModels among multiple #WindFarms, overcoming challenges associated with #DataPrivacy and #CommercialCompetition.
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#ModConFlex #MSCA researcher Ziqi Wang is a co-author of "FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning" Federated learning (FL) emerges as a promising framework for #Learning from #DistributedData while preserving privacy. It is useful in the #WindEnergy sector. For instance, it enables #CollaborativeTraining of #WindPower #ForecastingModels among multiple #WindFarms, overcoming challenges associated with #DataPrivacy and #CommercialCompetition.