1. Evaluating the communication efficiency in federated learning algorithms;Asad,2021
2. Evaluating efficiency and effectiveness of federated learning approaches in knowledge extraction tasks;Marulli,2021
3. Privacy and fairness in federated learning: on the perspective of tradeoff;Chen;ACM Comput. Surv.,2023
4. Adversarial attacks and defenses in deep learning: from a perspective of cybersecurity;Zhou;ACM Comput. Surv.,2022
5. Curse or redemption? How data heterogeneity affects the robustness of federated learning;Zawad,2021