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Fractional Order Federated Learning for Battery Electric Vehicle Energy Consumption Modeling
Mohammad Partohaghighi, Roummel Marcia, Bruce J. West +1
Federated learning on connected electric vehicles (BEVs) faces severe instability due to intermittent connectivity, time-varying client participation, and pronounced client-to-clie…
Roughness-Informed Federated Learning
Mohammad Partohaghighi, Roummel Marcia, Bruce J. West +1
Federated Learning (FL) enables collaborative model training across distributed clients while preserving data privacy, yet faces challenges in non-independent and identically distr…
When Gradient Clipping Becomes a Control Mechanism for Differential Privacy in Deep Learning
Mohammad Partohaghighi, Roummel Marcia, Bruce J. West +1
Privacy-preserving training on sensitive data commonly relies on differentially private stochastic optimization with gradient clipping and Gaussian noise. The clipping threshold is…
Statistical Roughness-Informed Machine Unlearning
Mohammad Partohaghighi, Roummel Marcia, Bruce J. West +1
Machine unlearning aims to remove the influence of a designated forget set from a trained model while preserving utility on the retained data. In modern deep networks, approximate…