activity
20232025
most citedUnveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices

35 citations · 35 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2025

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…

cs.NI2024

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…

eess.SY2024

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…

cs.LG2023

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…

cs.NI2023★ 35 cited

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…

eess.SY2023

An FPGA-Based Semi-Automated Traffic Control System Using Verilog HDL

Anik Mallik, Sanjoy Kundu, Md. Ashikur Rahman

Traffic Congestion is one of the severe problems in heavily populated countries like Bangladesh where Automated Traffic Control System needs to be implemented. An FPGA-based Semi-a…

cs.LG2023

EPAM: A Predictive Energy Model for Mobile AI

Anik Mallik, Haoxin Wang, Jiang Xie +2

Artificial intelligence (AI) has enabled a new paradigm of smart applications -- changing our way of living entirely. Many of these AI-enabled applications have very stringent late…