5 papers
FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
Md Nahid Hasan Shuvo, Moinul Hossain, Anik Mallik +2
Federated Learning (FL) enables collaborative model training across distributed devices while safeguarding data and user privacy. However, FL remains susceptible to privacy threats…
A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks
Anik Mallik, Jiang Xie, Zhu Han
Extended reality (XR) is at the center of attraction in the research community due to the emergence of augmented, mixed, and virtual reality applications. The performance of such a…
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles
Anik Mallik, Dawei Chen, Kyungtae Han +2
Connected and autonomous vehicles (CAVs) rely heavily upon time-sensitive information update services to ensure the safety of people and assets, and satisfactory entertainment appl…
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
Xiaolong Tu, Anik Mallik, Haoxin Wang +1
Climate change poses one of the most significant challenges to humanity. As a result of these climatic changes, the frequency of weather, climate, and water-related disasters has m…
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
Xiaolong Tu, Anik Mallik, Dawei Chen +4
Today, deep learning optimization is primarily driven by research focused on achieving high inference accuracy and reducing latency. However, the energy efficiency aspect is often…