Distributed Optimization for Large-scale Statistical Modeling

Starting date
February 26, 2019
Duration (months)
12
Departments
Computer Science
Managers or local contacts
Carra Damiano

Many machine learning problems can be expressed as stochastic optimization problems: distributed optimization is still in its infancy, and more research is required to improve the performance, the scalability, and the generality of the optimization algorithms. The aim of this project is to study algorithms and system implementations to distribute optimization algorithms across a cluster of cooperating machines.

Sponsors:

INdAM
Funds: assigned and managed by an external body

Project participants

Alberto Belussi
Associate Professor
Damiano Carra
Associate Professor
Carlo Combi
Full Professor
Rosalba Giugno
Full Professor
Barbara Oliboni
Associate Professor
Roberto Posenato
Associate Professor

Collaboratori esterni

Sara Migliorini
Università di Verona
Renato Lo Cigno
Università di Trento
Leonardo Maccari
Università di Trento
Alfredo Pulvirenti
Università di Catania
Alfredo Ferro
Università di Catania
Salvatore Alaimo
Università di Catania
Research areas involved in the project
Sistemi ciberfisici
Embedded and cyber-physical systems

Activities

Research facilities

Share