Search for dissertations about: "Šarunas Girdzijauskas"
Showing result 1 - 5 of 9 swedish dissertations containing the words Šarunas Girdzijauskas.
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1. Enabling Enterprise Live Video Streaming with Reinforcement Learning and Graph Neural Networks
Abstract : Over the last decade, video has vastly become the most popular way the world consumes content. Due to the increased popularity, video has been a strategic tool for enterprises. READ MORE
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2. On Service Optimization in Community Network Micro-Clouds
Abstract : Internet coverage in the world is still weak and local communities are required to come together and build their own network infrastructures. People collaborate for the common goal of accessing the Internet and cloud services by building Community networks (CNs).The use of Internet cloud services has grown over the last decade. READ MORE
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3. Towards Decentralized Graph Learning
Abstract : Current Machine Learning (ML) approaches typically present either a centralized or federated architecture. However, these architectures cannot easily keep up with some of the challenges introduced by recent trends, such as the growth in the number of IoT devices, increasing awareness about the privacy and security implications of extensive data collection, and the rise of graph-structured data and Graph Representation Learning. READ MORE
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4. Privacy preserving behaviour learning for the IoT ecosystem
Abstract : IoT has enabled the creation of a multitude of personal applications and services for a better understanding and improvement of urban environments and our personal lives. These services are driven by the continuous collection and analysis of sensitive and private user data to provide personalised experiences. READ MORE
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5. Mining Big and Fast Data: Algorithms and Optimizations for Real-Time Data Processing
Abstract : In the last decade, real-time data processing has attracted much attention from both academic community and industry, as the meaning of big data has evolved to incorporate as well the speed of data. The massive and rapid production of data comes via numerous services, i.e., Web, social networks, Internet of Things (IoT) and mobile devices. READ MORE