Fairness-constrained explainable machine learning with differentially private federated training for employee attrition prediction in civil engineering and law
Employee attrition in knowledge-intensive sectors such as civil engineering and law presents compounding risks to project continuity, regulatory compliance, and organisational profitability. Despite growing adoption of machine learning (ML) in human resource (HR) analytics, no prior study has simultaneously targeted th...
Rashmi Kumari, Suresh Pratap, Pradyut Anand et al.
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