Antonio Pietrabissa

Pubblicazioni

Titolo Pubblicato in Anno
Decentralised Federated Learning for Hospital Networks with application to COVID-19 Detection IEEE ACCESS 2022
A Weighted Average Consensus Approach for Decentralized Federated Learning MACHINE INTELLIGENCE RESEARCH 2022
An Adaptive Model Averaging Procedure for Federated Learning (AdaFed) JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY 2022
ADVANCED MULTI-RAT INTEGRATED MULTI-SENSORS SOLUTION FOR EMERGENCY PREVENTION, DETECTION AND RESPONSE OPERATIONS Ka and Broadband Communications Conference 2022
Bellman's principle of optimality and deep reinforcement learning for time-varying tasks INTERNATIONAL JOURNAL OF CONTROL 2021
Cognitive deficits in children with brain tumours: A project to create a software for cognitive training Abstracts from the World Congress of Neurology (WCN 2021)JOURNAL OF THE NEUROLOGICAL SCIENCES 2021
Estimation of Granger Causality through Artificial Neural Networks: applications to Physiological Systems and Chaotic Electronic Oscillators PEERJ. COMPUTER SCIENCE. 2021
Capacity-constrained Wardrop equilibria and application to multi-connectivity in 5G networks JOURNAL OF THE FRANKLIN INSTITUTE 2021
Optimal load sharing in reconfigurable battery systems using an improved model predictive control method 2021 29th Mediterranean Conference on Control and Automation (MED) 2021
Forest fire risk prediction from satellite data with convolutional neural networks 2021 29th Mediterranean Conference on Control and Automation, MED 2021 2021
Uav patrolling for wildfire monitoring by a dynamic voronoi tessellation on satellite data DRONES 2021
AdaFed: Performance-based Adaptive Federated Learning ICAAI 2021: 2021 The 5th International Conference on Advances in Artificial Intelligence (ICAAI) 2021
Cognitive deficits in childrens with brain tumours: A project to create a software for cognitive training JOURNAL OF THE NEUROLOGICAL SCIENCES 2021
Wardrop Equilibrium in Discrete-Time Selfish Routing with Time-Varying Bounded Delays IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2020
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning IEEE CONTROL SYSTEMS LETTERS 2020
Efficient and Risk-Aware Control of Electricity Distribution Grids IEEE SYSTEMS JOURNAL 2020
Management and Orchestration Architecture for Integrated Access of Satellite and Terrestrial in 5G 2020 International Conference on Information Networking (ICOIN) 2020
Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) 2020
6G in the sky: On‐demand intelligence at the edge of 3D networks ETRI JOURNAL 2020
Design of cellular, satellite, and integrated systems for 5G and beyond ETRI JOURNAL 2020

ERC

  • PE7_1

KET

  • Advanced manufacturing & processing
  • Big data & computing
  • Life-science technologies & biotechnologies

Interessi di ricerca

Networked Systems
Time-delay systems
Non-cooperative control
Robust control
Markov Decision Processes
Reinforcement Learning
Deep Reinforcement Learning

 

Keywords

multi-path routing
Distributed algorithms
deep reinforcement learning
5G networks
time-delay systems

Gruppi di ricerca

Cybersecurity

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma