Neural network quantization in federated learning at the edge N Tonellotto, A Gotta, FM Nardini, D Gadler, F Silvestri Information Sciences 575, 417-436, 2021 | 42 | 2021 |
Mining logs to model the use of a system D Gadler, M Mairegger, A Janes, B Russo 2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017 | 29 | 2017 |
Bringing the cloud to rural and remote areas via cloudlets S Helmer, C Pahl, J Sanin, L Miori, S Brocanelli, F Cardano, D Gadler, ... Proceedings of the 7th Annual Symposium on Computing for Development, 1-10, 2016 | 20 | 2016 |
Bringing the Cloud to Rural and Remote Areas-Cloudlet by Cloudlet P Abrahamsson, S Helmer, TD Oyetoyan, S Brocanelli, F Cardano, ... arXiv preprint arXiv:1605.03622, 2016 | 4 | 2016 |
The Impact of Recurrent Neural Network Quantization on Federated Learning D Gadler University of Pisa, 2019 | | 2019 |
A Hadoop Map-Reduce Script for the creation of Hidden Markov Models D Gadler PAD - Distributed Enabling Platforms Course, University of Pisa, 2019 | | 2019 |
Mining Data to Model System Usage with Hidden Markov Models D Gadler Free University of Bolzano-Bozen, 2017 | | 2017 |