I’m a Master’s student in Artificial Intelligence at IIIT Delhi with a prior experience of one and a half years as a Machine Learning Engineer. My current research at DCLL lab centers around Federated Learning. Specifically, I’m examining block cyclic and overlapping client participation and its effect on convergence. Alongside this, I’m exploring neural architecture search in a federated setting, aiming to find efficient solutions for resource-limited edge devices.
