Nazmus Shakib Shadin
1 indexed paper
Recent (6 mo)
1With code
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126
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ML×1AI×1
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2026
FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment
FedMTFI introduces a novel federated learning framework that uses multi-teacher knowledge distillation and feature importance to improve model performance and robustness in heterogeneous and non-IID data environments.
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