Published in IEEE Transactions on Cloud Computing, 2024
Recommended citation: Ziming Dai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Haipeng Yao, and Dusit Niyato. "Multi-Granularity Federated Learning by Graph-Partitioning." IEEE Transactions on Cloud Computing 13, no. 1 (2024): 18-33.
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Published in IEEE Wireless Communications, 2023
Recommended citation: Qiu Chao, Zheyuan Chen, Xiaoxu Ren, Ziming Dai, Cheng Zhang, and Xiaofei Wang. "AImers-6G: AI-driven region-temporal resource provisioning for 6G immersive services." IEEE Wireless Communications 30, no. 3 (2023): 196-203.
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Published in Arxiv, 2026
Recommended citation: Ziming Dai, Dabiao Ma, Jinle Tong, Mengyuan Han, Jian Yang, Hongtao Liu, Haojun Fei, and Qing Yang. "NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models." arXiv preprint arXiv:2601.10457 (2026).
Published in Arxiv, 2026
Recommended citation: Dabiao Ma, Ziming Dai, Zhimin Xin, Shu Wang, Jian Yang, and Haojun Fei. "TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning." arXiv preprint arXiv:2511.16147 (2026).
Published in IEEE ICDCS, 2025
Recommended citation: Ziming Dai, Chao Qiu, Fei Gao, Yunfeng Zhao, Xiaofei Wang. "ACME: Adaptive Customization of Large Models via Distributed Systems." In 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS), pp. 45-55. IEEE, 2025.
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Published in AAAI, 2025
Recommended citation: Ziming Dai, Tuo Zhang, Fei Gao, Xingyi Cai, Xiaofei Wang, Cheng Zhang, Wenyu Wang, and Chengjie Zang. "Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 47, pp. 40506-40512. 2026.
Published in IEEE GLOBECOM, 2023
Recommended citation: Ziming Dai, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, and F. Richard Yu. "MG²FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems." In GLOBECOM 2023-2023 IEEE Global Communications Conference, pp. 152-157. IEEE, 2023.
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