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Decentralized voting systems using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of blockchain technology has gained significant attention in various industries due to its transparency, security, and decentralization. One particular area where blockchain technology has the potential to revolutionize…

Multi-modal learning for audio-visual event localization – Complete Phd and Masters Thesis

[ad_1] **Introduction** The advancement of technology has led to an abundance of audio-visual data, making it essential to develop efficient methods for analyzing and localizing events in multimedia content. Multi-modal learning, which leverages both audio…

Differential privacy for privacy-preserving graph analytics – Complete Phd and Masters Thesis

[ad_1] Introduction With the proliferation of data in today’s digital age, privacy concerns have become increasingly important. This is particularly true for graph data, which often contains sensitive information about individuals and organizations. In order…

Quantum key distribution for secure quantum communication – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum key distribution (QKD) is a method of secure communication that utilizes the principles of quantum mechanics to generate and distribute cryptographic keys. With the rise of quantum computing and the potential threat…

Secure multi-party computation for privacy-preserving federated learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, federated learning has gained significant attention as a privacy-preserving technique for training machine learning models on distributed data sources. However, one of the key challenges in federated learning is ensuring…

Explainable deep learning for time series forecasting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning has become a popular and powerful approach for solving complex machine learning problems, including time series forecasting. However, one of the main challenges with deep learning models is…

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for privacy-preserving auctions – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are powerful cryptographic tools that allow one party to prove to another party the knowledge of certain information without revealing the information itself. This technology has…

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…

Quantum-inspired optimization for network resource allocation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization has emerged as a promising approach for solving complex optimization problems in various domains. In the context of network resource allocation, the efficient utilization of resources is crucial for ensuring high…

Interpretable machine learning for loan default prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Machine learning algorithms are increasingly being used in a variety of applications, including loan default prediction. However, the black-box nature of many machine learning models makes it challenging to understand the reasons behind…

Tag: information technology project management degree