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Feijie Wu
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2020 – today
- 2024
- [j3]Tao Guo
, Song Guo
Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. IEEE Trans. Mob. Comput. 23(3): 2382-2394 (2024) - [c11]Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao:
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. EMNLP 2024: 1640-1670 - [c10]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. ICLR 2024 - [c9]Feijie Wu
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD 2024: 3345-3355 - [c8]Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, Lu Su:
Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement. SenSys 2024: 592-605 - [i11]Xiaoze Liu
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. CoRR abs/2404.00942 (2024) - [i10]Xiaoze Liu
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. CoRR abs/2406.12975 (2024) - [i9]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR abs/2406.17706 (2024) - [i8]Feijie Wu, Xiaoze Liu
On the Client Preference of LLM Fine-tuning in Federated Learning. CoRR abs/2407.03038 (2024) - [i7]Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao:
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR abs/2407.19389 (2024) - 2023
- [j2]Feijie Wu
Facilitating Serverless Match-based Online Games with Novel Blockchain Technologies. ACM Trans. Internet Techn. 23(1): 10:1-10:26 (2023) - [j1]Feijie Wu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34(5): 1548-1559 (2023) - [c7]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao:
Anchor Sampling for Federated Learning with Partial Client Participation. ICML 2023: 37379-37416 - [c6]Haoyu Wang
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. KDD 2023: 5061-5070 - [c5]Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh:
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. MLSys 2023 - [i6]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. CoRR abs/2309.16487 (2023) - 2022
- [c4]Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang:
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC 2022: 193-198 - [i5]Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang:
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR abs/2204.06787 (2022) - [i4]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu:
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR abs/2206.05891 (2022) - [i3]Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh:
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. CoRR abs/2212.01523 (2022) - 2021
- [c3]Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu:
Parameterized Knowledge Transfer for Personalized Federated Learning. NeurIPS 2021: 10092-10104 - [i2]Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu:
Parameterized Knowledge Transfer for Personalized Federated Learning. CoRR abs/2111.02862 (2021) - [i1]Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR abs/2112.09355 (2021) - 2020
- [c2]Feijie Wu
Infinity Battle: A Glance at How Blockchain Techniques Serve in a Serverless Gaming System. ACM Multimedia 2020: 4559-4561
2010 – 2019
- 2019
- [c1]Ho Yin Yuen
Proof-of-Play: A Novel Consensus Model for Blockchain-based Peer-to-Peer Gaming System. BSCI 2019: 19-28
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