Feijie Wu

According to our database, Feijie Wu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration.

Tao Guo, Song Guo, Feijie Wu, Wenchao Xu, Jiewei Zhang, Qihua Zhou, Quan Chen, Weihua Zhuang

IEEE Trans. Mob. Comput., March, 2024

2023

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.

Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu

IEEE Trans. Parallel Distributed Syst., May, 2023

Facilitating Serverless Match-based Online Games with Novel Blockchain Technologies.

Feijie Wu, Ho Yin Yuen, Henry C. B. Chan, Victor C. M. Leung, Wei Cai

ACM Trans. Internet Techn., 2023

Towards Poisoning Fair Representations.

Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

CoRR, 2023

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.

Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Anchor Sampling for Federated Learning with Partial Client Participation.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao

Proceedings of the International Conference on Machine Learning, 2023

2022

GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.

Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh

CoRR, 2022

Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu

CoRR, 2022

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.

Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Parameterized Knowledge Transfer for Personalized Federated Learning.

Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Infinity Battle: A Glance at How Blockchain Techniques Serve in a Serverless Gaming System.

Feijie Wu, Ho Yin Yuen, Henry C. B. Chan, Victor C. M. Leung, Wei Cai

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Proof-of-Play: A Novel Consensus Model for Blockchain-based Peer-to-Peer Gaming System.

Ho Yin Yuen, Feijie Wu, Wei Cai, Henry C. B. Chan, Qiao Yan, Victor C. M. Leung

Proceedings of the 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2019