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cs.LG2025
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
Daniel Becking, Ingo Friese, Karsten Müller +4
In telecommunications, Autonomous Networks (ANs) automatically adjust configurations based on specific requirements (e.g., bandwidth) and available resources. These networks rely o…
cs.LG2025
ReReLRP -- Remembering and Recognizing Tasks with LRP
Karolina Bogacka, Maximilian Höfler, Maria Ganzha +2
Deep neural networks have revolutionized numerous research fields and applications. Despite their widespread success, a fundamental limitation known as catastrophic forgetting rema…