Daniele Gadler is a Data Scientist working on Artificial Intelligence solutions for the Autonomous Province of Bolzano-Bozen at SIAG – Südtiroler Informatik AG.
He holds a MSc. in Computer Science and Networking (cum laude) from Scuola Superiore Sant’Anna and the University of Pisa, where he graduated discussing a Master’s thesis on the Impact of Recurrent Neural Network Quantization on Federated Learning.
Interested in privacy-preserving machine learning and federated learning, as well on the distributed training of neural networks, he is a contributor to PySyft, an open-source framework for privacy-preserving distributed machine learning.
