2 citations · 2 across the 3 of their papers we have counts for
4 papers
Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain
Motaz Saad, Anna Borrelli, Ivan Gentile +3
Environmental, Social, and Governance (ESG) reporting is critical for corporate accountability, with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) offering…
FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning
Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2
With the widespread deployment of basic models in edge intelligence, communication bandwidth has become a core bottleneck restricting the scalability of federated learning. Althoug…
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato, Lingyu Qiu, Mohammad Tanveer +3
One-shot FL enables collaborative training in a single round, eliminating the need for iterative communication, making it particularly suitable for use in resource-constrained and…
Green Federated Learning: A new era of Green Aware AI
Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino +1
The development of AI applications, especially in large-scale wireless networks, is growing exponentially, alongside the size and complexity of the architectures used. Particularly…