3 citations · 4 across the 4 of their papers we have counts for
5 papers
Support Vector Based Anomaly Detection in Federated Learning
Massimo Frasson, Dario Malchiodi
Anomaly detection plays a crucial role in various domains, from cybersecurity to industrial systems. However, traditional centralized approaches often encounter challenges related…
A Critical Analysis of Classifier Selection in Learned Bloom Filters
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli +2
Learned Bloom Filters, i.e., models induced from data via machine learning techniques and solving the approximate set membership problem, have recently been introduced with the aim…
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo +2
Bloom Filters are a fundamental and pervasive data structure. Within the growing area of Learned Data Structures, several Learned versions of Bloom Filters have been considered, yi…
Compact representations of convolutional neural networks via weight pruning and quantization
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi +1
The state-of-the-art performance for several real-world problems is currently reached by convolutional neural networks (CNN). Such learning models exploit recent results in the fie…
Compression strategies and space-conscious representations for deep neural networks
Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca +1
Recent advances in deep learning have made available large, powerful convolutional neural networks (CNN) with state-of-the-art performance in several real-world applications. Unfor…