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Author

Yan Liu

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Review Open access Sep 2026

Task-Oriented Framework for Communication-Efficient Federated Learning: From Isolated Optimization to Holistic Synergy

This article presents an autonomous driving case study with two complementary experiments: a task-oriented client scheduling strategy that improves object detection accuracy under the same communication time budget, and a joint quantization-bandwidth optimization that further reduces total training time under dynamic n...

Fu-Qiang Pan, Yan Liu, Er-Wu Liu et al. · 0 citations
2026

Privacy-Preserving Consensus-Oriented Aggregation for Federated Learning With Heterogeneity

Achieving reliable network-wide consensus formation in distributed learning systems becomes increasingly challenging when edge nodes hold skewed data distributions. Federated learning (FL) enables privacy-preserving collaborative model training without sharing raw data, but statistical heterogeneity across nodes signif...

Xinyu Qu, Shaoyi Han, Erwu Liu et al. · 1 citation

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