#federated learning
Nov 2026
Trimmed-mean federated chain for robust aggregation against poisoning attacks in federated learning
Findings indicate that the integration of stabilisation, directional filtering, and trimmed-mean aggregation improves empirical robustness under the evaluated adversarial settings, although the present study does not establish formal Byzantine fault-tolerance or convergence guarantees.
Chang Zhi Soh, C. Chow, Joon Huang Chuah et al.
· Discover Computing · 0 citations