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Mang Ye — most-cited papers & profile · Federated Learning
← authors
·
overview
Mang Ye
20
papers ·
488
citations ·
1
h-index
National Institute of Japanese Literature
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
2023 · 69 citations
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
2024 · 27 citations
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
2023 · 18 citations
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
2023 · 8 citations
Rethinking Client Drift in Federated Learning: A Logit Perspective
2023 · 6 citations
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
2024 · 2 citations
An Empirical Study of Federated Prompt Learning for Vision Language Model
2025 · 1 citations
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
2024 · 1 citations
FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning
2025
Privacy-Enhancing Paradigms within Federated Multi-Agent Systems
2025
Federated Graph Semantic and Structural Learning
2024
Top co-authors
Wenke Huang
· 7
Guancheng Wan
· 5
Bo Du
· 4
Zekun Shi
· 3
Pong C. Yuen
· 2
Bing Li
· 1
Bin Yang
· 1
Bo Du
· 1
Carl Yang
· 1
Chun-Mei Feng
· 1
C. L. Philip Chen
· 1
Dacheng Tao
· 1
Topics
Federated Learning
Privacy
Data Heterogeneity
Security
Adversarial Attacks