4 papers
OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
Sahil Tyagi, Andrei Cozma, Olivera Kotevska +1
Federated Learning (FL) is critical for edge and High Performance Computing (HPC) where data is not centralized and privacy is crucial. We present OmniFed, a modular framework desi…
KIPPO: Koopman-Inspired Proximal Policy Optimization
Andrei Cozma, Landon Harris, Hairong Qi
Reinforcement Learning (RL) has made significant strides in various domains, and policy gradient methods like Proximal Policy Optimization (PPO) have gained popularity due to their…
Defect Detection in Tire X-Ray Images: Conventional Methods Meet Deep Structures
Andrei Cozma, Landon Harris, Hairong Qi +3
This paper introduces a robust approach for automated defect detection in tire X-ray images by harnessing traditional feature extraction methods such as Local Binary Pattern (LBP)…
Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing
Maofeng Tang, Andrei Cozma, Konstantinos Georgiou +1
Remote sensing images present unique challenges to image analysis due to the extensive geographic coverage, hardware limitations, and misaligned multi-scale images. This paper revi…