Diletta Chiaro

Orcid: 0000-0001-5145-4465

According to our database1, Diletta Chiaro authored at least 14 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Model aggregation techniques in federated learning: A comprehensive survey.
Future Gener. Comput. Syst., January, 2024

On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

2023
The Impact of Adversarial Attacks on Interpretable Semantic Segmentation in Cyber-Physical Systems.
IEEE Syst. J., December, 2023

FL-FD: Federated learning-based fall detection with multimodal data fusion.
Inf. Fusion, November, 2023

Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning.
IEEE J. Biomed. Health Informatics, October, 2023

Statistical arbitrage in the stock markets by the means of multiple time horizons clustering.
Neural Comput. Appl., June, 2023

A blockchain-based secure Internet of medical things framework for stress detection.
Inf. Sci., May, 2023

FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples.
Inf. Fusion, 2023

Ablation Studies in Activation Maps for Explainable Semantic Segmentation in Industry 4.0.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Unveiling engagement in virtual classrooms: a multimodal analysis.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A machine learning-based approach for mercury detection in marine waters.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Cut the peaches: image segmentation for utility pattern mining in food processing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

The BIOCHIP project: A Deep Learning approach for multiwell segmentation.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022


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