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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.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…