Paper published on secure and resilient federated learning for heterogeneous IoT networks

Shehan Edirimannage, Ibrahim Khalil, Xun Yi, and Kwok-Yan Lam’s paper SecHeto-FL: A Secure and Resilient Federated Learning Framework for Heterogeneous IoT Networks has been published in IEEE Transactions on Network Science and Engineering.

The work appears in IEEE Transactions on Network Science and Engineering 13: 6772-6789 (2026), and proposes a secure and resilient federated learning framework for heterogeneous IoT networks.

Congratulations to Shehan Edirimannage, Professor Ibrahim Khalil, Xun Yi, and Kwok-Yan Lam.