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Feijie Wu
Feijie Wu
PhD student, Purdue University
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
1242021
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
372019
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
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
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
52020
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, 2023
32023
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, 2023
32023
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
32023
FedBiOT: a solution for federated large language model fine-tuning with intellectual property protection
F Wu, Z Li, Y Li, B Ding, J Gao
2023
Towards Poisoning Fair Representations
T Liu, H Wang, F Wu, H Zhang, P Li, L Su, J Gao
arXiv preprint arXiv:2309.16487, 2023
2023
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
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
2023
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Articles 1–13