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Fangzhao Wu — most-cited papers & profile · Federated Learning
← authors
·
overview
Fangzhao Wu
36
papers ·
642
citations ·
50
h-index
Microsoft Research (United Kingdom) · Tsinghua University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
2022 · 19 citations
FedKD: Communication Efficient Federated Learning via Knowledge Distillation
2021 · 18 citations
A Survey on Federated Recommendation Systems
2023 · 10 citations
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation
2022 · 9 citations
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction
2022 · 4 citations
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization
2022 · 4 citations
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
2022 · 3 citations
Robust Quantity-Aware Aggregation for Federated Learning
2022 · 2 citations
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
2023 · 1 citations
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
2023 · 1 citations
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher
2023
FedSampling: A Better Sampling Strategy for Federated Learning
2023
FedDefender: Client-Side Attack-Tolerant Federated Learning
2023
Top co-authors
Xing Xie
· 9
Chuhan Wu
· 5
Yongfeng Huang
· 5
Lingjuan Lyu
· 4
Tao Qi
· 4
Meeyoung Cha
· 3
Sundong Kim
· 3
Sungwon Han
· 3
Bin Zhu
· 2
Sungwon Park
· 2
and Xing Xie
· 1
Bin Zhu
· 1
Topics
Federated Learning
Privacy
Communication
Data Heterogeneity
Security
Adversarial Attacks
Optimization