3 papers
cs.LG2025
pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
Yasaman Saadati, Mohammad Rostami, M. Hadi Amini
Traditional Federated Learning (FL) methods encounter significant challenges when dealing with heterogeneous data and providing personalized solutions for non-IID scenarios. Person…
cs.CV2025
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation
Mohammad Rostami, Dayuan Jian, Ruitong Sun
Event-based cameras provide accurate and high temporal resolution measurements for performing computer vision tasks in challenging scenarios, such as high-dynamic range environment…
cs.LG2025
Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
Amin Banayeeanzade, Mohammad Rostami
Continual learning is crucial for creating AI agents that can learn and improve themselves autonomously. A primary challenge in continual learning is to learn new tasks without los…