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Federated transfer learning for cross-organization collaboration – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, organizations are increasingly recognizing the importance of collaboration and knowledge sharing to drive innovation and stay competitive in the market. However, one of the challenges that organizations face when…

Decentralized online marketplaces using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction: Decentralized online marketplaces have revolutionized traditional ways of conducting commerce by leveraging blockchain technology. This thesis aims to explore the potential of decentralized online marketplaces using blockchain to enhance security, transparency, and efficiency…

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

[ad_1] Introduction In recent years, the field of quantum computing has gained increasing attention for its potential to revolutionize traditional optimization techniques. Quantum-inspired optimization algorithms, which draw inspiration from the principles of quantum mechanics, have…

Multi-modal learning for visual question answering – Complete Phd and Masters Thesis

[ad_1] Introduction Visual question answering (VQA) is a challenging task that involves understanding natural language questions about images and generating accurate answers. Multi-modal learning, which combines information from both visual and textual modalities, has shown…

Differential privacy for secure data publishing – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data, the need for sharing and publishing data while protecting individual privacy has become increasingly important. Differential privacy has emerged as a prominent framework for achieving this balance…

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

[ad_1] Introduction Quantum communication has the potential to revolutionize the way we transmit and process information by taking advantage of the unique properties of quantum mechanics. However, quantum systems are inherently susceptible to errors due…

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

[ad_1] Introduction Zero-shot learning has emerged as a promising approach for video retrieval, as it allows the model to recognize object classes without any training data. This thesis aims to explore the potential of zero-shot…

Federated reinforcement learning for smart manufacturing – Complete Phd and Masters Thesis

[ad_1] Introduction: Federated reinforcement learning is a cutting-edge technique that combines the power of reinforcement learning with the distributed nature of federated learning. This approach has shown immense potential in various domains, including smart manufacturing.…

Serverless computing for edge intelligence – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing is a cloud computing model in which the cloud provider manages the infrastructure needed to execute code, allowing developers to focus on writing and deploying functions without worrying about servers. Edge…

Generative adversarial networks for 3D object generation – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in the field of deep learning for their ability to generate realistic and high-quality data, including images, text, and even 3D objects. In recent years,…

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