Federated Behavioral Intelligence: A Privacy-Preserving Framework for Distributed Customer Behavioral Modeling in Cross-Silo Environments
The paper proposes a systematic analysis framework for investigating five structural aspects, which need behavioral-specific adjustment beyond regular federated learning approaches in the following contexts: feature engineering with data locality; communication efficiency during distributed behavioral model training; d...