pRivacy-prEserving
Machine LearnIng
through secure
managemeNt of
Data’s lifecyclE
in distRibuted systems
The main goal of REMINDER is to create a secure and privacy-preserving approach to manage the data’s lifecycle in decentralized and distributed systems. The proposed approach will leverage on the integration of cryptographic approaches and FL to address security and privacy implications throughout the storage, transmission, and processing of data by considering the dynamic and heterogeneous nature of distributed systems.
SUMMARY OF THE PROJECT
In recent years, the use of Artificial Intelligence (AI) has become widespread, leading to a technological paradigm shift. Addressing key objectives of the United Nations’ Sustainable Development Goals (SDGs) 2030 requires the responsible use of AI to convert data into actionable knowledge for societal benefit.
This trend is propelled by increasing hyperconnectivity through distributed systems integrated into Internet infrastructure, particularly leveraging Internet of Things (IoT) and 5G/6G technologies. These ecosystems enable new services for sustainable cities, communities, and advanced eHealth scenarios.
REMINDER aims to design a decentralized and secure approach for accessing and processing data from distributed systems, including an edge-based architecture for Federated Learning (FL). This architecture supports collaborative model creation without sharing raw data, addressing major security and privacy challenges associated with decentralized Machine Learning (ML) approaches. The project also focuses on GDPR compliance, cyberattack resilience, and feasibility through eHealth and smart-building use cases.
PROJECT GOALS AND OBJECTIVES
REMINDER focuses on addressing key security and privacy challenges in decentralized and distributed systems. Through the integration of advanced technologies such as Federated Learning (FL) and cryptographic approaches, REMINDER aims to develop secure and privacy-respecting methods for managing the data lifecycle.
REMINDER aims to contribute to building a safer and more privacy-respecting digital future by addressing critical challenges in data management in decentralized and distributed environments.
SOCIAL IMPACT OVERVIEW
EMPOWERING DIGITAL INCLUSION
REMINDER aims to empower individuals and communities by bridging the gap to access and understand technology. Through user-friendly solutions, the project fosters digital literacy and ensures everyone can navigate the digital landscape with confidence. By prioritizing inclusivity, REMINDER contributes to a more equitable and informed society.
IMPACT ON SCIENCE AND TECHNOLOGY
REMINDER enhances the security and privacy of decentralized and distributed systems' data lifecycle. By integrating cybersecurity and AI concepts, the project develops tools to protect sensitive information, benefiting various domains such as cyber-threat information sharing, biometric authentication, and autonomous driving.
REDUCING SOCIAL BARRIERS
REMINDER's prototypes empower users to safeguard their information, addressing the technological gap among citizens. By providing accessible solutions, the project ensures that everyone can benefit from technological advancements, regardless of background or expertise. Additionally, REMINDER aligns with legal instruments like the EU Cyber Resilience Act to support its enforcement and address societal challenges.
INTRODUCING CONSORTIUM PARTNERS
REMINDER’s consortium comprises four esteemed partners from diverse sectors across four countries: Spain, UK, Romania, and Austria. Each partner brings unique expertise and experience, collectively forming a purposeful and multidisciplinary team. With a solid track record in research and innovation, these partners embody a commitment to advancing security and privacy in decentralized systems.
