With over three years of experience as a Graduate Research Assistant at Florida International University, I have developed and evaluated federated deep learning models for various applications, such as activity recognition, anomaly detection, and image processing. I am pursuing a PhD in Computing and Information Sciences, with a focus on Computer Vision for anomaly detection and federated learning in resource-constrained IoT devices.My passion is to explore and innovate novel solutions for distributed and decentralized learning systems that can leverage local data and resources, while preserving privacy and security. I have contributed to multiple research projects and publications in this field, and I am always eager to learn new techniques and collaborate with other researchers. My goal is to advance the state-of-the-art in federated deep learning and make it more accessible and efficient for real-world scenarios.https://sites.google.com/view/mamunahmed