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cs.LG2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa, Wenxuan Zhang, Ziquan Liu +3
Decentralized collaborative learning under data heterogeneity and privacy constraints has rapidly advanced. However, existing solutions like federated learning, ensembles, and tran…
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…