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    <div class="overlay"><p class="lab-description">The Vikendrit Gyaan Network Lab</p>
        <h1>Exploring Collaborative Learning And <br>Networking To Transform Tomorrow</h1>
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        <h2>VGNet Lab Vision</h2>
        <p>VGNet Lab aims to be a beacon of innovation at the intersection of Computer Science, Machine Learning, and Distributed Systems.</p>
        <p>We aspire to advance technology through groundbreaking research, tackling real-world challenges, and fostering an environment of collaboration and excellence.</p>
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                <h3 class="lab-description">Latest Publication</h3>
                <h4>RURAL-AgriFed: Autonomous Agricultural Rovers for Irrigation Management of Agricultural Fields in Rural Areas</h4>
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                <h3 class="lab-description">Project News</h3>
                <h4>Received 2.2 Cr. Grants from Telecom Centers of Excellence, Department of Telecommunication, India. </h4>
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                <h3 class="lab-description">Just Completed Project</h3>
                <h4>Robust and Collaborative Fog-aided Federated Learning Framework for Enhanced Resiliency of Real-time Applications</h4>
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<h3>OUR MISSION</h3>
<h2>Innovating for a Smarter Future</h2>
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    At VGNet, we strive to create impactful, cutting-edge technologies through rigorous research and development. 
    Our work focuses on seamlessly integrating Cloud, Fog, and Edge Computing, advancing AI and Machine Learning, 
    contributing to global knowledge, designing scalable algorithms for distributed systems, and developing sustainable 
    and meaningful innovations.
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    <h3>OUR RESEARCH INTERESTS</h3>
    <h2 class="research-title">Collaborative Learning and Networking</h2>

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      <li>Resource Provisioning, Service Deployment and Networking in Cloud/Fog/Edge Computing</li>
      <li>Distributed Machine Learning (Federated Learning, Gossip Learning)</li>
      <li>TinyML and Split Learning in Edge Networks</li>
      <li>Transfer Learning in Edge Networks</li>
      <li>Explainable Artificial Intelligence</li>
      <li>5G/6G Communications</li>
      <li>Internet-of-Things and Time-Critical Applications</li>
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<h3>STRATEGIC OBJECTIVES</h3>
<h2>Driving Innovation in AI & Networks</h2>
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    VGNet Lab is committed to pioneering breakthroughs in distributed machine learning by developing decentralized models 
    with a focus on privacy and scalability. We innovate adaptive resource provisioning algorithms for Cloud, Fog, and 
    Edge Computing and empower edge networks with TinyML, creating AI-powered lightweight models for real-world applications.
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    <h2>Acknowledging Our Supporters</h2>

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    Our research would not be possible without the invaluable support of our funding agencies, collaborators, and 
    institutional partners. Their contributions drive innovation, enabling breakthroughs in AI, network technologies,
     and beyond. We are deeply grateful for their role in advancing our mission.

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