This review synthesizes recent advances in loss function designs for Physics-Informed Neural Networks (PINNs), a transformative approach to solving partial differential equations (PDEs) by embedding physical laws into deep learning frameworks, to equip researchers with insights to refine PINN methodologies.
M. Esmaeilbeigi, Daniela Annunziata, Salvatore Cuomo et al.· Journal of Scientific Comput...· 0 citations
Environmental, Social, and Governance (ESG) reporting is critical for corporate accountability, with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) offering strong potential to automate KPI extraction. However, open-source LLM performance in domain-specific ESG tasks remains insufficiently unders...
Motaz Saad, Anna Borrelli, Ivan Gentile et al.· 0 citations
This review synthesizes recent advances in loss function designs for Physics-Informed Neural Networks (PINNs), a transformative approach to solving partial differential equations (PDEs) by embedding physical laws into deep learning frameworks. We begin by exploring the foundational role of loss functions in deep neural...
M. Esmaeilbeigi, Daniela Annunziata, Salvatore Cuomo et al.· Journal of Scientific Comput...· 0 citations
FuGuard is proposed, a dual-strategy federated unlearning framework, designed for efficient and ideal client-level data removal that combines the generative surrogate, which approximates the contribution of the target client, with optimal transport regularization that softly constrains model parameter drift during unle...
Pian Qi, Daniela Annunziata, Chiara Jappelli et al.· IEEE Transactions on Neural...· 0 citations
Experimental results show that FedOPAL not only significantly outperforms the original analytical methods on several benchmarks, but also achieves accuracy comparable to state-of-the-art iterative methods while maintaining zero server-side training costs, providing a new engineering paradigm for efficient collaboration...
Lingyu Qiu, Daniela Annunziata, Stefano Izzo et al.· 2026 2nd International Confe...· 0 citations
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