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Feijie Wu
Feijie Wu
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
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
1512021
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
402019
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
62023
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
62020
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
52023
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
52022
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
42023
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
32023
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
22024
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
22023
Towards poisoning fair representations
T Liu, H Wang, F Wu, H Zhang, P Li, L Su, J Gao
arXiv preprint arXiv:2309.16487, 2023
12023
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
12023
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
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
F Wu, Z Li, Y Li, B Ding, J Gao
arXiv preprint arXiv:2406.17706, 2024
2024
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
2024
Gradient-wise optimization for distributed machine learning
F Wu
Hong Kong Polytechnic University, 2024
2024
One Training Fits All: Addressing Model-Heterogeneity Federated Learning via Architecture Probing
F Wu, Y Wang, T Liu, X Wang, L Su, J Gao
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Articles 1–18