[ad_1] Introduction Federated learning is a decentralized machine learning approach that allows multiple entities to collaboratively build a shared global model without directly sharing their data. This emerging technology has gained significant attention in recent…
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[ad_1] Introduction Quantum computing is a rapidly evolving field that holds the promise of solving computational problems that are currently intractable for classical computers. One of the key areas where quantum computing is expected to…
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[ad_1] Introduction Neuromorphic computing has emerged as a promising technology for edge devices due to its ability to process information in a manner that mimics the human brain. This thesis explores the application of neuromorphic…
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[ad_1] Thesis Overview: Privacy-enhancing technologies for social networks Introduction Privacy has become a major concern in the age of social networks, where users share personal information and engage in various activities online. This thesis focuses…
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[ad_1] Introduction Distributed ledger technologies (DLT) have gained significant attention in recent years due to the rise of cryptocurrencies such as Bitcoin and Ethereum. While blockchain technology is the most well-known form of DLT, there…
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[ad_1] Introduction Natural language processing (NLP) has gained significant attention in recent years due to its potential to revolutionize various industries, including the legal sector. With the increasing volume of legal documents being generated, it…
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[ad_1] Introduction Quantum cryptography is a revolutionary technology that leverages the principles of quantum mechanics to secure communication channels against eavesdropping and data breaches. Traditional cryptographic systems are vulnerable to attacks from increasingly sophisticated hackers,…
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[ad_1] Introduction In recent years, smart home devices have become increasingly popular among consumers, providing convenience, security, and energy efficiency. These devices rely on artificial intelligence (AI) to automate tasks and improve user experience. However,…
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[ad_1] Introduction Privacy-preserving machine learning techniques have become increasingly important in today’s data-driven society where large amounts of sensitive information are collected and analyzed. With the rise of machine learning algorithms that require access to…
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[ad_1] Introduction In recent years, the use of swarm robotics in search and rescue operations has gained increasing attention due to its potential to improve the efficiency and effectiveness of these critical missions. Swarm robotics…
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