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Feijie Wu
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 15
Top Topics
Learning Stage
Nonlinear Optimization
Natural Language Understanding
Multiagent Learning
Top Venues
CoRR
IEEE Trans. Mob. Comput.
ACM Trans. Internet Techn.
KDD
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Publications
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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)
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)