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AIDA Webinar Series | Improving 5G Risk Management

AIDA Webinar Series: Improving 5G Risk Management The AIDA project and the CMU Portugal Program are promoting a series of webinars on the improvement of 5G risk management. With this initiative, the project expects to launch a discussion that will contribute to highlight different topics and challenges related to this area.    Starting in December […]

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Fraud detection, micro-clusters and scatterplots

Fraud detection, micro-clusters and scatterplots   Acknowledgements The results and analysis presented here were done with contributions from Mirela Cazzolato (USP, and CMU), Saranya Vijayakumar (CMU), Xinyi (Carol) Zheng (CMU), Meng-Chieh (Jeremy) Lee (CMU), Namyong Park (CMU), Pedro Fidalgo (Mobileum), Bruno Lages (Mobileum), and Agma Traina (USP). Reminders – Problem definition and past insights As […]

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AIDA Project presented at the Carnegie Mellon’s Commencement Ceremony

AIDA Project presented at the Carnegie Mellon’s Commencement Ceremony On May 13th, the AIDA project was presented at the CMU Portugal Program workshop that preceded the Commencement Ceremony, in Pittsburgh. Our researcher David Garlan, from CMU, presented the project as an ongoing research work, and collaboration between Portugal and CMU. David Garlan also talked about […]

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AIDA paper presents a mechanism that ensures better performance and reduces costs in IoT devices

AIDA paper presents a mechanism that ensures better performance and reduces costs in IoT devices “Adaptive Database Synchronization for an Online Analytical Cloud-to-Edge Continuum” is the new paper of the AIDA project, which was presented this week at the ACM Dependable, Adaptive, and Secure Distributed Systems (DADS 2022).  Internet of Things devices are generally underpowered, but […]

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Federated Machine Learning

Federated Machine Learning Federated Learning (FL) is a collaboratively decentralized privacy-preserving technology to overcome the challenges of data storage and data sensibility [1]. The last few years have been strongly marked by artificial intelligence, machine learning, smart devices, and deep learning. As a result, two challenges arose in data science, impacting how data can be […]

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Consortium meeting gathers all partners

Consortium meeting gathers all partners On March 17, 2022, the AIDA consortium met in Braga (Portugal) to plan the last months of the project. The discussion focused on the use cases needed for pilot proposes and which frameworks can be used to execute the pilot correctly. Additionally, the partners discussed the tests required to achieve […]

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Finding Anomalies in Large Scale Graphs

Finding Anomalies in Large Scale Graphs   Problem definition Given a large, who-calls-whom graph, how can we  nd anomalies and fraud? How can we explain the results of our algorithms? This is exactly the focus of this project. We distinguish two settings: static graphs (no timestamps), and time-evolving graphs (with timestamps for each phone). We […]

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AIDA project presented to MAP-i’s students

AIDA project presented to MAP-i’s students Last week, close to 20 students from the MAP Doctoral Program in Computer Science (MAP-i) had the opportunity to get to know the AIDA project, focusing on cloud edge continuum. The MAP-i students – part of one of the PhD programs that is closely related to the research carried […]

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