| Parameterized knowledge transfer for personalized federated learning J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu Advances in Neural Information Processing Systems 34, 10092-10104, 2021 | 195 | 2021 |
| Proof-of-play: A novel consensus model for blockchain-based peer-to-peer gaming system HY Yuen, F Wu, W Cai, HCB Chan, Q Yan, VCM Leung Proceedings of the 2019 ACM international symposium on blockchain and secure …, 2019 | 47 | 2019 |
| Fedbiot: Llm local fine-tuning in federated learning without full model F Wu, Z Li, Y Li, B Ding, J Gao Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 13 | 2024 |
| From deterioration to acceleration: A calibration approach to rehabilitating step asynchronism in federated optimization F Wu, S Guo, H Wang, H Zhang, Z Qu, J Zhang, Z Liu IEEE Transactions on Parallel and Distributed Systems 34 (5), 1548-1559, 2023 | 11 | 2023 |
| Anchor sampling for federated learning with partial client participation F Wu, S Guo, Z Qu, S He, Z Liu, J Gao International Conference on Machine Learning, 37379-37416, 2023 | 10 | 2023 |
| SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation X Liu, T Sun, T Xu, F Wu, C Wang, X Wang, J Gao arXiv preprint arXiv:2406.12975, 2024 | 9 | 2024 |
| Gluefl: Reconciling client sampling and model masking for bandwidth efficient federated learning S He, Q Yan, F Wu, L Wang, M Lécuyer, I Beschastnikh Proceedings of Machine Learning and Systems 5, 695-707, 2023 | 9 | 2023 |
| Infinity battle: A glance at how blockchain techniques serve in a serverless gaming system F Wu, HY Yuen, HCB Chan, VCM Leung, W Cai Proceedings of the 28th ACM International Conference on Multimedia, 4559-4561, 2020 | 7 | 2020 |
| On the convergence of quantized parallel restarted SGD for serverless learning F Wu, S He, Y Yang, H Wang, Z Qu, S Guo arXiv preprint arXiv:2004.09125 130, 2020 | 7* | 2020 |
| Facilitating serverless match-based online games with novel blockchain technologies F Wu, HY Yuen, H Chan, VCM Leung, W Cai ACM Transactions on Internet Technology 23 (1), 1-26, 2023 | 6 | 2023 |
| Sign bit is enough: A learning synchronization framework for multi-hop all-reduce with ultimate compression F Wu, S He, S Guo, Z Qu, H Wang, W Zhuang, J Zhang Proceedings of the 59th ACM/IEEE Design Automation Conference, 193-198, 2022 | 6 | 2022 |
| Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding H Wang, Y Wang, F Wu, H Xue, J Gao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Tree learning: Towards promoting coordination in scalable multi-client training acceleration T Guo, S Guo, F Wu, W Xu, J Zhang, Q Zhou, Q Chen, W Zhuang IEEE Transactions on Mobile Computing 23 (3), 2382-2394, 2023 | 4 | 2023 |
| Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs X Liu, F Wu, T Xu, Z Chen, Y Zhang, X Wang, J Gao arXiv preprint arXiv:2404.00942, 2024 | 3 | 2024 |
| Towards efficient heterogeneous multi-modal federated learning with hierarchical knowledge disentanglement X Wang, H Wang, F Wu, T Liu, Q Cao, L Su Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems …, 2024 | 1 | 2024 |
| FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction F Wu, X Wang, Y Wang, T Liu, L Su, J Gao arXiv preprint arXiv:2407.19389, 2024 | 1 | 2024 |
| Towards poisoning fair representations T Liu, H Wang, F Wu, H Zhang, P Li, L Su, J Gao arXiv preprint arXiv:2309.16487, 2023 | 1 | 2023 |
| On the Client Preference of LLM Fine-tuning in Federated Learning F Wu, X Liu, H Wang, X Wang, J Gao arXiv preprint arXiv:2407.03038, 2024 | | 2024 |
| 一种基于机器异构性的联邦学习方法 S Guo, F Wu, H Wang | | 2024 |
| Gradient-wise optimization for distributed machine learning F Wu Hong Kong Polytechnic University, 2024 | | 2024 |
Song GuoFCAE, FIEEE, Hong Kong University of Science and Technology在 cse.ust.hk 的电子邮件经过验证
