Feijie Wu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Natural Language Understanding

Structured Prediction

Top Venues

IEEE Trans. Mob. Comput.

ACM Trans. Internet Techn.

Publications

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. CoRR (2024)
Tao Guo, Song Guo, Feijie Wu, Wenchao Xu, Jiewei Zhang, Qihua Zhou, Quan Chen, Weihua Zhuang
Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. IEEE Trans. Mob. Comput. 23 (3) (2024)
Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. CoRR (2024)
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
Towards Poisoning Fair Representations. ICLR (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD (2024)
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao
On the Client Preference of LLM Fine-tuning in Federated Learning. CoRR (2024)
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR (2024)
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)
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. KDD (2023)
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
Towards Poisoning Fair Representations. CoRR (2023)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
Anchor Sampling for Federated Learning with Partial Client Participation. ICML (2023)
Feijie Wu, Ho Yin Yuen, Henry C. B. Chan, Victor C. M. Leung, Wei Cai
Facilitating Serverless Match-based Online Games with Novel Blockchain Technologies. ACM Trans. Internet Techn. 23 (1) (2023)
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 (2022)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR (2022)
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)
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 (2022)
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wencao Xu, Feijie Wu
Parameterized Knowledge Transfer for Personalized Federated Learning. CoRR (2021)
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 (2021)
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
Parameterized Knowledge Transfer for Personalized Federated Learning. NeurIPS (2021)
Feijie Wu, Ho Yin Yuen, Henry C. B. Chan, Victor C. M. Leung, Wei Cai
Infinity Battle: A Glance at How Blockchain Techniques Serve in a Serverless Gaming System. ACM Multimedia (2020)
Ho Yin Yuen, Feijie Wu, Wei Cai, Henry C. B. Chan, Qiao Yan, Victor C. M. Leung
Proof-of-Play: A Novel Consensus Model for Blockchain-based Peer-to-Peer Gaming System. BSCI (2019)