Abstract: In Federated Learning (FL), the issue of statistical data heterogeneity has been a significant challenge to the field's ongoing development. This problem is further exacerbated when clients' ...
Abstract: This work proposes a modular learning framework that integrates individual process models into a global model for an entire process network. Three types of modules are discussed: black-box ...
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