Feijie Wu

34 papers A* 10Misc 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems.
CoRR
Xiaoze Liu, Ruowang Zhang, Weichen Yu, Siheng Xiong, Liu He, Feijie Wu, Hoin Jung, Matt Fredrikson, Xiaoqian Wang, Jing Gao
2026 — conf
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking.
KDD (1)
Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su
2025 J jnl
PORTool: Tool-Use LLM Training with Rewarded Tree.
CoRR
Feijie Wu, Weiwu Zhu, Yuxiang Zhang, Soumya Chatterjee, Jiarong Zhu, Fan Mo, Rodin Luo, Jing Gao
2025 J jnl
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning.
CoRR
Tianyang Xu, Xiaoze Liu, Feijie Wu, Xiaoqian Wang, Jing Gao
2025 J jnl
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering.
CoRR
Feijie Wu, Zitao Li, Fei Wei, Yaliang Li, Bolin Ding, Jing Gao
2025 A* conf
Towards Federated RLHF with Aggregated Client Preference for LLMs.
ICLR
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao
2025 J jnl
Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking.
CoRR
Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su
2024 J jnl
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
CoRR
Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao
2024 J jnl
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
IEEE Data Eng. Bull.
Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao
2024 A* conf
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
NeurIPS
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
2024 J jnl
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
CoRR
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
2024 A* conf
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.
KDD
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024 J jnl
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.
CoRR
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024 J jnl
On the Client Preference of LLM Fine-tuning in Federated Learning.
CoRR
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao
2024 A* conf
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation.
EMNLP
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
2024 J jnl
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation.
CoRR
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
2024 Misc conf
Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement.
SenSys
Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, Lu Su
2024 A* conf
Towards Poisoning Fair Representations.
ICLR
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
2024 J jnl
Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration.
IEEE Trans. Mob. Comput.
Tao Guo, Song Guo, Feijie Wu, Wenchao Xu, Jiewei Zhang, Qihua Zhou, Quan Chen, Weihua Zhuang
2023 A* conf
Anchor Sampling for Federated Learning with Partial Client Participation.
ICML
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
2023 J jnl
Facilitating Serverless Match-based Online Games with Novel Blockchain Technologies.
ACM Trans. Internet Techn.
Feijie Wu, Ho Yin Yuen, Henry C. B. Chan, Victor C. M. Leung, Wei Cai
2023 J jnl
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
IEEE Trans. Parallel Distributed Syst.
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
2023 — conf
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.
MLSys
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
2023 A* conf
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.
KDD
Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
2023 J jnl
Towards Poisoning Fair Representations.
CoRR
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
2022 J jnl
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.
CoRR
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
2022 J jnl
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.
CoRR
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
2022 J jnl
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression.
CoRR
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2022 A* conf
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.
DAC
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2021 J jnl
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.
CoRR
Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
2021 A* conf
Parameterized Knowledge Transfer for Personalized Federated Learning.
NeurIPS
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
2021 J jnl
Parameterized Knowledge Transfer for Personalized Federated Learning.
CoRR
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
2020 A* conf
Infinity Battle: A Glance at How Blockchain Techniques Serve in a Serverless Gaming System.
ACM Multimedia
Feijie Wu, Ho Yin Yuen, Henry C. B. Chan, Victor C. M. Leung, Wei Cai
2019 — conf
Proof-of-Play: A Novel Consensus Model for Blockchain-based Peer-to-Peer Gaming System.
BSCI
Ho Yin Yuen, Feijie Wu, Wei Cai, Henry C. B. Chan, Qiao Yan, Victor C. M. Leung