#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.

https://arxiv.org/pdf/2402.13989.pdf