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Marco Avella Medina

1 paper indexed

arxivstat.MLcs.LGmath.STstat.ME2026-07-02

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms

Ye Tian, Mengchu Li, Marco Avella Medina

Integrating information across related tasks can improve estimation and prediction in transfer, multi-task, and federated learning, but contamination and heterogeneity make robust borrowing challenging. We study a contaminated multi-task empirical risk minimization (ERM) framewor…

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