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Jianwei Huang — most-cited papers & profile · Federated Learning
← authors
·
overview
Jianwei Huang
13
papers ·
69
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Cross-Silo Federated Learning: Challenges and Opportunities
2022 · 42 citations
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
2024 · 16 citations
Cost-Effective Federated Learning in Mobile Edge Networks
2021 · 6 citations
Cost-Effective Federated Learning Design
2020 · 3 citations
Federated Few-Shot Learning with Adversarial Learning
2021 · 1 citations
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
2023 · 1 citations
FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
2025
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
2021
Optimization Design for Federated Learning in Heterogeneous 6G Networks
2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
2023
Joint Participation Incentive and Network Pricing Design for Federated Learning
2023
Provably Convergent Federated Trilevel Learning
2023
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
2023
Top co-authors
Shiqiang Wang
· 6
Leandros Tassiulas
· 5
Bing Luo
· 3
Pengchao Han
· 3
Bing Luo
· 2
Wenli Xiao
· 2
Yang Jiao
· 2
Bing Luo
· 1
Chao Huang
· 1
Chengtao Jian
· 1
Chenyou Fan
· 1
Jianhua Li
· 1
Topics
Federated Learning
Optimization
Data Heterogeneity
Privacy
Communication
Edge Computing
Adversarial Attacks