IIIT-Delhi Institutional Repository

Browsing BTech Projects by Author "Prasad, Ranjitha (Advisor)"

Browsing BTech Projects by Author "Prasad, Ranjitha (Advisor)"

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  • A bayesian perspective to explainable AI 
    Saini, Aditya; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2021-07)
    The LIME(Local Interpretable Model-Agnostic Explanations) framework is a popular technique for providing simple to understand post-hoc model explanations. However, it su ers from the perplexing issue of inconsistent ...
  • Decentralized federated learning in wireless networks 
    Sohini, Ayush Madhan; Dominic, Divin; Prasad, Ranjitha (Advisor) (IIIT- Delhi, 2022-12)
    Current wireless applications such as autonomous driving, UAVs, IOT devices, etc. generate massive amounts of data that can be utilized to train machine learning models for decision making. Privacy, security and bandwidth ...
  • Decentralized federated learning in wireless networks 
    Kumari, Pooja; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    In today’s world, Machine learning and deep learning has changed the vision in CS/IT fields. It is continuously exciting us in different ways, giving us amazing results and solving many problems in different fields. With ...
  • Demonstration of federated averaging using zigbee and SDR 
    Singh, Monika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
  • Fair counterfactual prediction 
    Choudhary, Simran; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...
  • Federated averaging in noisy asynchronous settings 
    Fatima, Zubaida; Jamal, Yusuf; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-07)
    This research report investigates the robustness of Federated Learning (FL) by understanding and examining the performance of Federated Averaging (FedAvg) and Federated Proximal (Fed- Prox), along with the study of fading ...
  • Federated learning in wireless networks 
    Mehra, Arjun; Muttepawar, Varun; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-28)
    Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...

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