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Philip S. Yu — most-cited papers & profile · Federated Learning
← authors
·
overview
Philip S. Yu
128
papers ·
3532
citations ·
169
h-index
University of Illinois Urbana-Champaign · University of Illinois System · California State University, Chico · University of Illinois Chicago · University of Chicago · Southwest Jiaotong University
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Most-cited papers
Privacy and Robustness in Federated Learning: Attacks and Defenses
2020 · 46 citations
Decentralized Federated Learning: A Survey and Perspective
2023 · 10 citations
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
2024 · 4 citations
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
2024 · 2 citations
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
2023 · 1 citations
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
2024 · 1 citations
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
2024 · 1 citations
FedGraph: A Research Library and Benchmark for Federated Graph Learning
2024
Data science and AI in FinTech: An overview
2020
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
2023
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
2024
Top co-authors
Tianqing Zhu
· 4
Wanlei Zhou
· 4
Lichao Sun
· 2
Carlee Joe-Wong
· 1
Chen Chen
· 1
Gengsen Huang
· 1
Han Yu
· 1
Hao Miao
· 1
Hao Peng
· 1
Heng Xu
· 1
Huiqiang Chen
· 1
Jianxin Wang
· 1
Topics
Federated Learning
Privacy
Security
Optimization
Adversarial Attacks
Data Heterogeneity
Communication