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Serverless computing for big data analytics – Complete Phd and Masters Thesis

Serverless computing for big data analytics – Complete Phd and Masters Thesis

[ad_1] Introduction: Serverless computing has emerged as a promising technology for big data analytics, offering a scalable and cost-effective solution for processing and analyzing large volumes of data. With serverless computing, developers can focus on…

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Zero-knowledge proofs for privacy-preserving data aggregation – Complete Phd and Masters Thesis

Zero-knowledge proofs for privacy-preserving data aggregation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have emerged as a powerful tool in cryptography for ensuring the privacy and security of data during aggregation processes. In the era of big data, preserving the privacy of individuals’ sensitive…

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Generative adversarial networks for text-to-image synthesis – Complete Phd and Masters Thesis

Generative adversarial networks for text-to-image synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate realistic images from text descriptions. In the field of text-to-image synthesis, GANs have shown promising results in…

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Secure multi-party computation for secure linear regression – Complete Phd and Masters Thesis

Secure multi-party computation for secure linear regression – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their private inputs without revealing any information other than the output. This technology has gained…

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Quantum-resistant homomorphic encryption – Complete Phd and Masters Thesis

Quantum-resistant homomorphic encryption – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of quantum computing technology, current encryption methods are at risk of being compromised, leading to potential security breaches. In response to this threat, quantum-resistant cryptography has emerged as a promising…

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

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

[ad_1] Introduction In the era of big data and connected devices, federated learning has emerged as a promising approach to collaborative machine learning without compromising data privacy. Federated transfer learning extends the concept of federated…

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Interpretable machine learning for credit risk assessment – Complete Phd and Masters Thesis

Interpretable machine learning for credit risk assessment – Complete Phd and Masters Thesis

[ad_1] Introduction With the advancements in technology, machine learning algorithms are being used in various industries, including financial services. One of the key applications of machine learning in finance is credit risk assessment, where algorithms…

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Zero-shot learning for cross-modal retrieval – Complete Phd and Masters Thesis

Zero-shot learning for cross-modal retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis…

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Zero-knowledge proofs for secure multi-party computation – Complete Phd and Masters Thesis

Zero-knowledge proofs for secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs are a powerful cryptographic tool that allows one party to prove to another party that a statement is true without revealing any additional information beyond the validity of the statement itself.…

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Quantum-resistant post-quantum cryptography – Complete Phd and Masters Thesis

Quantum-resistant post-quantum cryptography – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of cryptography has faced a significant challenge with the emergence of quantum computing. Quantum computers have the potential to break many of the traditional encryption algorithms that are…

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