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Wenjun Tian

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Open access Aug 2026

LBSFL: a lightweight robust federated learning method for IoT

Experiments show that LBSFL achieves competitive model accuracy while substantially reducing computational and communication overhead in most evaluated settings, indicating that LBSFL provides a favorable trade-off between robustness and efficiency for IoT-oriented federated learning.

Wei Ma, Wenjun Tian, Qihang Zhao et al. · 0 citations

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