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Quoc-Viet Pham

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#federated learning Open access Dec 2026

FedMLKD: Communication-Efficient Federated Learning for UAV Swarm Flash Flood Segmentation

Federated Multi-Level Knowledge Distillation (FedMLKD), a novel framework that enables UAVs to exchange both logits and adaptively pooled intermediate features, is proposed, showing its ability to balance accuracy and efficiency, making it a practical candidate for real-time disaster mapping in bandwidth-constrained UA...

Ji-Jing Cai, Hui Zhang, W. Wang et al. · IEEE Transactions on Mobile... · 0 citations

#machine learning Preprint Oct 2026

Not All Retained Clients Are Equal: Client Selection for Federated Unlearning

Federated unlearning (FU) aims to remove a designated target client's influence from a trained model without the prohibitive cost of retraining from scratch. Existing methods largely treat unlearning as a post-hoc, stateless operation, overlooking that client influence is path-dependent: contributions made during train...

Thanh Linh Nguyen, Quoc-Viet Pham · 0 citations