2 citations · 2 across the 5 of their papers we have counts for
5 papers
FedCMAPSS: A Benchmark for Federated Learning in Remaining Useful Life Estimation
Amelia Sorrenti, Matteo Pennisi, Concetto Spampinato +1
Data-driven prognostics and health management has emerged as a key enabler for Industry 4.0, yet the development of robust remaining useful life (RUL) estimation models is often li…
Dream2Learn: Structured Generative Dreaming for Continual Learning
Salvatore Calcagno, Matteo Pennisi, Federica Proietto Salanitri +4
Continual learning requires balancing plasticity and stability while mitigating catastrophic forgetting. Inspired by human dreaming as a mechanism for internal simulation and knowl…
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
Badr Youbi Idrissi, Monica Millunzi, Amelia Sorrenti +2
In the present-day scenario, Large Language Models (LLMs) are establishing their presence as powerful instruments permeating various sectors of society. While their utility offers…
FeDETR: a Federated Approach for Stenosis Detection in Coronary Angiography
Raffaele Mineo, Amelia Sorrenti, Federica Proietto Salanitri
Assessing the severity of stenoses in coronary angiography is critical to the patient's health, as coronary stenosis is an underlying factor in heart failure. Current practice for…
Wake-Sleep Consolidated Learning
Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri +3
We propose Wake-Sleep Consolidated Learning (WSCL), a learning strategy leveraging Complementary Learning System theory and the wake-sleep phases of the human brain to improve the…