Im Forschungsprojekt FLEIS (Federated Learning Enhancing IT-Security) wurde von 2021 bis 2024 zusammen mit zwei …In the project FLEIS (Federated Learning Enhancing IT Security), research on IT security in human resource management …

Federated Learning method (CWCSGDFL) is introduced. It aims to improve the efficiency of financial distress prediction by … reduces time complexity in financial distress prediction. Stochastic Gradient Gaussian Kernel Federated Learning approach is …

A distributed machine learning technique called federated learning allows numerous Internet of Things (IoT) edge … enhance traffic management and optimize routes, federated learning, and IoT must work jointly, which may achieve sustainable … development goals (SDG) in many ways. This research outlines a system for federated learning in vehicular networks in smart cities …

across data sets. This paper develops federated methods that only utilize summary-level information from multiple … heterogeneous data sets. Our federated methods provide doubly-robust point estimates of treatment effects as well as variance … estimates. We derive the asymptotic distributions of our federated estimators, which are shown to be asymptotically equivalent …