2026

Chinta, Gkentian, Xiao, Ke, Wang, Qiyuan ORCID: https://orcid.org/0000-0003-2298-7195, Kolomvatsos, Kostas and Anagnostopoulos, Christos ORCID: https://orcid.org/0000-0003-1517-6757 (2026) NTA-Gossip: Learning When Not to Learn in Decentralised Federated Learning. In: 4th International Conference on Federated Learning Technologies and Applications (FLTA 2026), Paris, France, 27–30 October 2026, (Accepted for Publication)

Xiao, Ke, Wang, Qiyuan ORCID: https://orcid.org/0000-0003-2298-7195, Anagnostopoulos, Christos ORCID: https://orcid.org/0000-0003-1517-6757, Tan, Zhuoran and Li, Wenhao ORCID: https://orcid.org/0009-0009-5386-0841 (2026) FedHera: Towards Drift-Resilient Federated Fine-tuning with Heterogeneous Resources. In: 43rd International Conference on Machine Learning (ICML 2026), Seoul, South Korea, 6-11 July 2026, (Accepted for Publication)

2025

Xiao, Ke, Wang, Qiyuan ORCID: https://orcid.org/0000-0003-2298-7195 and Anagnostopoulos, Christos ORCID: https://orcid.org/0000-0003-1517-6757 (2025) FLgym: towards robust and Byzantine-resilient federated learning. IEEE Transactions on Information Forensics and Security, 21, pp. 404-416. (doi: 10.1109/TIFS.2025.3643162)

Articles

Xiao, Ke, Wang, Qiyuan ORCID: https://orcid.org/0000-0003-2298-7195 and Anagnostopoulos, Christos ORCID: https://orcid.org/0000-0003-1517-6757 (2025) FLgym: towards robust and Byzantine-resilient federated learning. IEEE Transactions on Information Forensics and Security, 21, pp. 404-416. (doi: 10.1109/TIFS.2025.3643162)

Conference Proceedings

Chinta, Gkentian, Xiao, Ke, Wang, Qiyuan ORCID: https://orcid.org/0000-0003-2298-7195, Kolomvatsos, Kostas and Anagnostopoulos, Christos ORCID: https://orcid.org/0000-0003-1517-6757 (2026) NTA-Gossip: Learning When Not to Learn in Decentralised Federated Learning. In: 4th International Conference on Federated Learning Technologies and Applications (FLTA 2026), Paris, France, 27–30 October 2026, (Accepted for Publication)

Xiao, Ke, Wang, Qiyuan ORCID: https://orcid.org/0000-0003-2298-7195, Anagnostopoulos, Christos ORCID: https://orcid.org/0000-0003-1517-6757, Tan, Zhuoran and Li, Wenhao ORCID: https://orcid.org/0009-0009-5386-0841 (2026) FedHera: Towards Drift-Resilient Federated Fine-tuning with Heterogeneous Resources. In: 43rd International Conference on Machine Learning (ICML 2026), Seoul, South Korea, 6-11 July 2026, (Accepted for Publication)