[ad_1] Introduction Federated learning has emerged as a promising approach for training machine learning models across a decentralized network of devices while keeping the data localized. This distributed learning paradigm has gained significant attention in…
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[ad_1] Introduction Artificial Intelligence (AI) has revolutionized the way we interact with technology, making it smarter, more intuitive, and more efficient. One area where AI has made a significant impact is in code completion and…
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[ad_1] Thesis Overview: Automated requirements engineering is a rapidly evolving field that aims to automate the process of eliciting, analyzing, specifying and validating requirements for software systems. This thesis explores the current state of the…
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[ad_1] Introduction In recent years, the Internet of Things (IoT) has seen rapid growth and integration into various aspects of daily life. With this expansion comes the need for secure communication and data transmission between…
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[ad_1] Introduction Privacy-preserving data publishing is a critical aspect of data sharing in the current digital age where personal information is constantly collected and stored by various organizations. With the increasing concerns about privacy violations…
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[ad_1] Introduction In recent years, there has been a growing interest in utilizing Swarm Intelligence (SI) techniques for the development of smart transportation systems. SI is a collective behavior observed in decentralized, self-organized systems where…
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[ad_1] Introduction: Cognitive computing is revolutionizing the healthcare industry by enabling personalized healthcare interventions. This technology utilizes artificial intelligence systems that mimic the human brain’s ability to process information and learn from experience. By analyzing…
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[ad_1] Introduction Secure multi-party computation (SMPC) is a cryptographic technique that allows multiple parties to jointly compute a function on their private inputs without revealing those inputs to each other. SMPC has important applications in…
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[ad_1] Introduction: Privacy-preserving collaborative filtering is a technique used in recommendation systems to protect the privacy of users while still providing accurate and personalized recommendations. Collaborative filtering is a popular method for recommendation systems as…
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[ad_1] Introduction Natural language processing (NLP) has emerged as a crucial field in the domain of information retrieval, especially in question answering systems. With the rapid increase in digital information, there is a growing need…
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