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Decentralized reputation systems using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized reputation systems using blockchain have gained significant interest in recent years due to the potential they hold to revolutionize the way we establish trust in online interactions. By leveraging the transparency and…

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

[ad_1] Introduction Quantum error correction is a critical aspect of quantum computing that aims to protect quantum information from errors caused by noise and other imperfections. In the context of quantum simulation, where quantum systems…

Zero-shot learning for language translation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning is a popular topic in the field of machine learning and natural language processing that aims to enable machines to perform tasks without the need for labeled training data. In the…

Graph neural networks for fraud detection in financial networks – Complete Phd and Masters Thesis

[ad_1] Introduction Financial fraud is a pervasive issue that continues to challenge financial institutions worldwide. The advent of advanced Machine Learning and Deep Learning techniques has provided novel solutions to tackle this problem. Graph neural…

Federated reinforcement learning for collaborative robotics – Complete Phd and Masters Thesis

[ad_1] Introduction Federated reinforcement learning is a promising approach to address the challenges of collaborative robotics, where multiple robots work together to achieve a common goal. This thesis explores the use of federated reinforcement learning…

Neuromorphic computing for brain-inspired computing – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has gained significant attention in recent years as a promising approach to develop brain-inspired computing systems. Drawing inspiration from the human brain’s ability to process information in a highly efficient and…

Homomorphic encryption for privacy-preserving deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing use of deep learning in various industries, there is a growing concern about the privacy of sensitive data that is used to train these models. Homomorphic encryption has emerged as…

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…

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…

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…

Tag: information technology project management degree