3 citations · 6 across the 3 of their papers we have counts for
3 papers
Tackling Selfish Clients in Federated Learning
Andrea Augello, Ashish Gupta, Giuseppe Lo Re +1
Federated Learning (FL) is a distributed machine learning paradigm facilitating participants to collaboratively train a model without revealing their local data. However, when FL i…
IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility
Francesco Restuccia, Pierluca Ferraro, Simone Silvestri +2
Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile crowdsensing system,…
FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems
Francesco Restuccia, Pierluca Ferraro, Timothy S. Sanders +3
Mobile crowdsensing allows data collection at a scale and pace that was once impossible. One of the biggest challenges in mobile crowdsensing is that participants may exhibit malic…