Knowledge reuse in edge computing environments. - Qianyu Long; Kostas Kolomvatsos; Christos Anagnostopoulos 001 (J. Netw. Comput. Appl., 2022)

FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. - Qianyu Long; Christos Anagnostopoulos 001; Shameem Puthiya Parambath; Daning Bi (ICDM, 2023)

Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme. - Qianyu Long; Qiyuan Wang 003; Christos Anagnostopoulos 001; Daning Bi (CoRR, 2024)

Enhancing Knowledge Reusability: A Distributed Multitask Machine Learning Approach. - Qianyu Long; Christos Anagnostopoulos 001; Kostas Kolomvatsos (IEEE Trans. Emerg. Top. Comput., 2025)

FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models. - Qianyu Long; Qiyuan Wang 003; Christos Anagnostopoulos 001; Daning Bi (CoRR, 2025)