21 papers
Optimal Calibration of Quantum Network Links
Vinay Kumar, Claudio Cicconetti, Marco Conti +1
The reliable distribution of entanglement is essential for the effective operation of quantum networks. Due to fundamental differences between quantum and classical communication s…
Annotation of Positive vs Negative User Interactions for Social Sign Prediction
Biancamaria Bombino, Chiara Boldrini, Andrea Passarella +1
Inferring the sign of social relationships from online interactions is a fundamental challenge in social network analysis. Existing approaches typically rely on sentiment analysis…
Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints
Samuele Sabella, Chiara Boldrini, Lorenzo Valerio +2
Decentralized learning is a promising paradigm for collaborative training in mobile and pervasive systems, as it avoids a central coordinator and does not require sharing raw data.…
Layered Ego Networks in Email Communication: From Enron to the Jmail Archive
Francesco Di Cursi, Chiara Boldrini, Marco Conti +1
Email archives offer a rare view of social relationships through repeated communication, but it remains unclear how well classical ego network layering applies to digital interacti…
Neural Network Compression by Approximate Differential Equivalence
Ravi Dhiman, Andrea Passarella, Mirco Tribastone +1
Neural network compression is commonly achieved by pruning parameters based on local importance scores, e.g., magnitude-based pruning. We propose a complementary approach that comp…
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora, Lorenzo Valerio, Paolo Bellavista +1
Federated Learning (FL) enables the collaborative training of machine learning models without requiring centralized collection of user data. To comply with the right to be forgotte…