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.
· Journal of King Saud Univers... · 0 citations