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cs.LG2024★ 1 cited
Flashback: Understanding and Mitigating Forgetting in Federated Learning
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini +1
In Federated Learning (FL), forgetting, or the loss of knowledge across rounds, hampers algorithm convergence, particularly in the presence of severe data heterogeneity among clien…
cs.LG2024
Practical Insights into Knowledge Distillation for Pre-Trained Models
Norah Alballa, Ahmed M. Abdelmoniem, Marco Canini
This research investigates the enhancement of knowledge distillation (KD) processes in pre-trained models, an emerging field in knowledge transfer with significant implications for…