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09/13/2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
Federated Learning (FL) has been successfully adopted for distributed tr...
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06/16/2023
A Design Approach and Prototype Implementation for Factory Monitoring Based on Virtual and Augmented Reality at the Edge of Industry 4.0
Virtual and augmented reality are currently enjoying a great deal of att...
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10/14/2022
Optimizing Vision Transformers for Medical Image Segmentation and Few-Shot Domain Adaptation
The adaptation of transformers to computer vision is not straightforward...
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07/28/2022
A Civil Protection Early Warning System to Improve the Resilience of Adriatic-Ionian Territories to Natural and Man-made Risk
We are currently witnessing an increased occurrence of extreme weather e...
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05/12/2022
Improving Sequential Query Recommendation with Immediate User Feedback
We propose an algorithm for next query recommendation in interactive dat...
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09/25/2021
Local Learning at the Network Edge for Efficient Secure Real-Time Predictive Analytics
The ability to perform computation on devices, such as smartphones, cars...
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08/31/2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
We consider the query recommendation problem in closed loop interactive ...
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07/22/2021
A Proactive Management Scheme for Data Synopses at the Edge
The combination of the infrastructure provided by the Internet of Things...
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02/27/2021
A Soft Method for Outliers Detection at the Edge of the Network
The combination of the Internet of Things and the Edge Computing gives m...
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10/11/2020
On the Road from Edge Computing to the Edge Mesh
Nowadays, we are witnessing the advent of the Internet of Things (EC) wi...
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08/12/2020
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models
The combination of Internet of Things (IoT) and Edge Computing (EC) can ...
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08/01/2020
Data Synopses Management based on a Deep Learning Model
Pervasive computing involves the placement of processing services close ...
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07/29/2020
On the Use of Interpretable Machine Learning for the Management of Data Quality
Data quality is a significant issue for any application that requests fo...
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03/14/2020
ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning
As more and more organizations rely on data-driven decision making, larg...
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08/13/2019
Adaptive Learning of Aggregate Analytics under Dynamic Workloads
Large organizations have seamlessly incorporated data-driven decision ma...
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12/29/2018
