Fabrizio De Vita

Leveraging Stack4Things for Federated Learning in Intelligent Cyber Physical Systems

Dario Bruneo, Fabrizio De Vita, Dario Bruneo, 2020, J. Sens. Actuator Networks.

A Deep Reinforcement Learning Approach For Data Migration in Multi-Access Edge Computing

Antonio Puliafito, Giovanni Stea, Dario Bruneo, 2018, 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K).

Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing

Antonio Puliafito, Giovanni Stea, Dario Bruneo, 2019, IEEE Communications Standards Magazine.

A deep learning approach for pressure ulcer prevention using wearable computing

Antonio Puliafito, Dario Bruneo, Fabrizio De Vita, 2020, Hum. centric Comput. Inf. Sci..

A Deep Learning Approach for Indoor User Localization in Smart Environments

Dario Bruneo, Fabrizio De Vita, Dario Bruneo, 2018, 2018 IEEE International Conference on Smart Computing (SMARTCOMP).

A Novel Data Collection Framework for Telemetry and Anomaly Detection in Industrial IoT Systems

Sajal K. Das, Sajal K. Das, Dario Bruneo, 2020, 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI).

Quantitative Analysis of Deep Leaf: a Plant Disease Detector on the Smart Edge

Sajal K. Das, Sajal K. Das, Dario Bruneo, 2020, 2020 IEEE International Conference on Smart Computing (SMARTCOMP).

On the Use of LSTM Networks for Predictive Maintenance in Smart Industries

Dario Bruneo, Fabrizio De Vita, Dario Bruneo, 2019, 2019 IEEE International Conference on Smart Computing (SMARTCOMP).

On the use of a full stack hardware/software infrastructure for sensor data fusion and fault prediction in industry 4.0

Sajal K. Das, Sajal K. Das, Dario Bruneo, 2020, Pattern Recognit. Lett..

Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection

Dario Bruneo, Fabrizio De Vita, Valeria Tomaselli, 2021, Pervasive Mob. Comput..

A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems

Dario Bruneo, Fabrizio De Vita, Sajal K. Das, 2021, 2021 IEEE International Conference on Smart Computing (SMARTCOMP).

A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing

Giuseppe Lo Re, Dario Bruneo, Fabrizio De Vita, 2021, 2021 IEEE International Conference on Smart Computing (SMARTCOMP).

A Cloud Platform for Collecting and Processing Road Pavement Multi Sensor Data

Gaetano Bosurgi, Orazio Pellegrino, Dario Bruneo, 2021, 2021 IEEE International Conference on Smart Computing (SMARTCOMP).

A fog-assisted system to defend against Sybils in vehicular crowdsourcing

Sajal K. Das, Fabrizio De Vita, G. Re, 2022, Pervasive Mob. Comput..

On-Device Training of Deep Learning Models on Edge Microcontrollers

Fabrizio De Vita, V. Tomaselli, Dario Bruneo, 2022, 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).

Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks

Fabrizio De Vita, Dario Bruneo, 2022, Sensors.

µ-FF: On-Device Forward-Forward Training Algorithm for Microcontrollers

Fabrizio De Vita, Dario Bruneo, M. Falchetto, 2023, 2023 IEEE International Conference on Smart Computing (SMARTCOMP).

Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks

Fabrizio De Vita, Dario Bruneo, Rawan M. A. Nawaiseh, 2024, 2024 IEEE International Conference on Smart Computing (SMARTCOMP).