149 citations · 160 across the 7 of their papers we have counts for
7 papers
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
Aqeel Anwar, Tae Eun Choe, Zian Wang +2
Detecting a diverse range of objects under various driving scenarios is essential for the effectiveness of autonomous driving systems. However, the real-world data collected often…
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems
Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud +4
Swarm intelligence is being increasingly deployed in autonomous systems, such as drones and unmanned vehicles. Federated reinforcement learning (FRL), a key swarm intelligence para…
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems
Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao +3
Learning-based navigation systems are widely used in autonomous applications, such as robotics, unmanned vehicles and drones. Specialized hardware accelerators have been proposed f…
Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar, Arijit Raychowdhury
Reinforcement learning algorithms, just like any other Machine learning algorithm pose a serious threat from adversaries. The adversaries can manipulate the learning algorithm resu…
Masked Face Recognition for Secure Authentication
Aqeel Anwar, Arijit Raychowdhury
With the recent world-wide COVID-19 pandemic, using face masks have become an important part of our lives. People are encouraged to cover their faces when in public area to avoid t…
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning
Sihan Zeng, Aqeel Anwar, Thinh Doan +2
We develop a mathematical framework for solving multi-task reinforcement learning (MTRL) problems based on a type of policy gradient method. The goal in MTRL is to learn a common p…
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning
Aqeel Anwar, Arijit Raychowdhury
Smart and agile drones are fast becoming ubiquitous at the edge of the cloud. The usage of these drones are constrained by their limited power and compute capability. In this paper…