| Reinforcement Learning for Energy-Efficient Cloud Robotics |
computation offloading
edge computing
machine learning
reinforcement learning
robots
robotics
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |
| Distributed Federated Learning: Resilience to Model Attacks |
deep learning
federated learning
machine learning
multi-agent systems
resilience
security
|
COMPUTER ENGINEERING |
Luca Ballotta |
| Graph Neural Network-Based Safe Multi-Robot Control |
deep learning
graph neural networks
machine learning
multi-agent system
multi-robot system
reinforcement learning
robot
safe control
safety
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |
| Multi-Agent Reinforcement Learning for Compute Allocation in Processing Networks |
edge computing
energy efficiency
machine learning
multi-agent systems
reinforcement learning
resource allocation
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |
| Fault-Tolerant Control with Formal Verification of Learning-Based Barrier Functions (with internship at Eindhoven) |
SMT
barrier certificates
barrier function
deep learning
dynamical systems
fault detection
fault-tolerant control
formal verification
machine learning
robust control
safety
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |
| Smart building management with human-in-the-loop feedback control (with internship at KTH) |
energy
human-in-the-loop
smart building
temperature regulation
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |
| Cyberattack-resilient multi-robot control with physical layer security (possible internship at Harvard) |
cybersecurity
multi-agent system
networked control
robotics
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |
| Safe and high-performing robot control via Wifi-aware control barrier function |
control over wireless
model predictive control
robot
safety
|
CONTROL SYSTEMS ENGINEERING |
Luca Ballotta |