FedGraph-Fair: Federated learning with personalization and fairness via dynamic graphs and distributionally robust optimization
Khan, K., “FedGraph-Fair: Federated learning with personalization and fairness via dynamic graphs and distributionally robust optimization,” Information Sciences (Elsevier), vol. 728, Art. no. 122710, Feb. 2026, doi: 10.1016/j.ins.2025.122710.
FABLE: Fairness-Aware Branching Federated Learning under Events and Concept Drift
Koffka Khan, Winston Elibox, Treina Dinoo Ramlochan, Wayne Rajkumar, and Shanta Ramnath, “FABLE: Fairness-Aware Branching Federated Learning under Events and Concept Drift,” Expert Systems with Applications (Elsevier), Art. no. 131238, 2026, doi: 1016/j.eswa.2026.131238.
TR-MEPS: Entropic spectral projection for trust-aware robust federated aggregation
Khan, K., Elibox, W., & Ramnath, S. (2026). TR-MEPS: Entropic spectral projection for trust-aware robust federated aggregation. Elsevier, Applied Soft Computing. DOI: 10.1016/j.asoc.2026.115211
FLAIR: Federated Learning via Adaptive Influence and Resource Coordination
Khan, K., Goodridge, W. (2026). FLAIR: Federated Learning via Adaptive Influence and Resource Coordination. IEEE Transactions on Multimedia. DOI: 10.1109/TMM.2026.3673560
