Author

Andrea Augello

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#machine learning Preprint Sep 2026

Upholding Robustness in Federated Learning: Trends, Emerging Strategies, and Research Opportunities

This work offers a holistic synthesis of FL robustness along three tightly coupled angles: a threat-centric view of robustness that categorizes the multifaceted attack surfaces, a structured taxonomy of robust aggregation strategies distinguishing outcome-centric approaches from security-centric strategies, and a layer...

V. PravijaRajP, Ashish Gupta, Andrea Augello et al. · 0 citations

Conference Jul 2026

Towards Neuro-Symbolic Federated Tree Learning

Federated Learning (FL) is a distributed machine learning paradigm that enables multiple clients to collaboratively train a model while keeping their data localized, thus preserving privacy. While most FL approaches focus on deep learning models, there is a growing interest in exploring alternative models that can offe...

Andrea Augello, Stefano Merendino, Alessandra De Paola et al. · International Conference on... · 0 citations