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Gated recurrent units for information flow control – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the use of recurrent neural networks (RNNs) for various applications such as natural language processing, speech recognition, and time series prediction. One popular…

Convolutional neural networks for grid-like data – Complete Phd and Masters Thesis

[ad_1] Introduction Convolutional neural networks (CNNs) have gained significant importance in recent years for their ability to effectively extract and learn features from grid-like data such as images, videos, and sensor data. This thesis focuses…

Autoregressive models for sequential generation – Complete Phd and Masters Thesis

[ad_1] Introduction Autoregressive models have gained significant attention in recent years due to their ability to generate realistic sequences of data, such as text, audio, and images. These models have been successful in various applications,…

Generative adversarial networks for realistic synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have emerged as powerful tools for generating realistic synthetic data in recent years. By pitting two neural networks against each other in a zero-sum game setting, GANs are able…

Adversarial learning for robust models – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing interest in developing robust machine learning models that can perform well in the presence of adversarial attacks. These attacks are designed to exploit vulnerabilities in…

Smart contracts for automated machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Smart contracts have gained popularity in recent years due to their ability to automate and facilitate secure transactions on blockchain platforms. In the field of machine learning, smart contracts can be used to…

Blockchain for decentralized machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Blockchain technology has gained significant attention in recent years due to its potential to revolutionize various industries by providing decentralized, secure, and transparent systems. One area that stands to benefit greatly from the…

Federated analytics for decentralized learning – Complete Phd and Masters Thesis

[ad_1] Introduction Federated analytics is a novel approach to decentralized learning that involves training machine learning models across multiple edge devices or servers while keeping the data on these devices rather than centralizing it. This…

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

[ad_1] Introduction Homomorphic encryption is a groundbreaking technology that allows for computations to be performed on encrypted data without the need to decrypt it. This offers a powerful tool for privacy-preserving computation, ensuring that sensitive…

Secure multi-party computation for collaborative learning – Complete Phd and Masters Thesis

[ad_1] Introduction The increasing demand for data privacy and security in collaborative learning environments has led to the development of secure multi-party computation (MPC) techniques. These techniques allow multiple parties to jointly compute a function…

Tag: final project for computer science