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Federated transfer learning for cross-device federated optimization – Complete Phd and Masters Thesis

Federated transfer learning for cross-device federated optimization – Complete Phd and Masters Thesis

[ad_1] Introduction Federated transfer learning is a cutting-edge technique that allows for the sharing of knowledge across multiple devices while preserving data privacy and security. This emerging field has gained significant attention in recent years…

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Quantum machine learning for quantum state preparation – Complete Phd and Masters Thesis

Quantum machine learning for quantum state preparation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning (QML) has emerged as an interdisciplinary field that combines quantum physics and machine learning techniques to solve complex computational problems. One of the key areas of research in QML is…

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Differential privacy for privacy-preserving social network analysis – Complete Phd and Masters Thesis

Differential privacy for privacy-preserving social network analysis – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, the amount of data generated through social networks is enormous, making it an invaluable resource for researchers in various fields such as sociology, computer science, and economics. However, this…

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Quantum error correction for quantum metrology – Complete Phd and Masters Thesis

Quantum error correction for quantum metrology – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum technologies have become increasingly important in a wide range of scientific fields, with applications in quantum computing, quantum communication, and quantum metrology. Quantum error correction is crucial for the implementation of reliable…

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Graph neural networks for fake news detection – Complete Phd and Masters Thesis

Graph neural networks for fake news detection – Complete Phd and Masters Thesis

[ad_1] Introduction: Fake news has become a pervasive issue in today’s society, with the spread of misinformation and disinformation on social media platforms posing significant challenges to the public discourse and democratic processes. As the…

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Transfer learning for cross-modal information retrieval – Complete Phd and Masters Thesis

Transfer learning for cross-modal information retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction The growing popularity of multimedia data such as images, videos, and text has propelled the need for effective cross-modal information retrieval systems. Cross-modal information retrieval aims to retrieve relevant information across different types…

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Neuromorphic computing for biologically-inspired robotics – Complete Phd and Masters Thesis

Neuromorphic computing for biologically-inspired robotics – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a rapidly advancing field that seeks to mimic the biological neural networks of the brain in order to create more efficient and adaptable computing systems. This technology has the potential…

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Homomorphic encryption for secure natural language processing – Complete Phd and Masters Thesis

Homomorphic encryption for secure natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing use of cloud computing and outsourced data processing, the need for secure methods of handling sensitive data has become more crucial. Homomorphic encryption is a promising solution that allows for…

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Serverless computing for scientific workflows – Complete Phd and Masters Thesis

Serverless computing for scientific workflows – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing has emerged as a promising solution for executing scientific workflows in a cost-effective and scalable manner. By abstracting away the infrastructure management, serverless computing enables researchers to focus on developing and…

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Zero-knowledge proofs for privacy-preserving electronic health records – Complete Phd and Masters Thesis

Zero-knowledge proofs for privacy-preserving electronic health records – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have emerged as a powerful tool for preserving privacy in electronic health records. With the increasing digitization of health information, there is a growing need to protect sensitive data from unauthorized…

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