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Songze Li — most-cited papers & profile · Federated Learning
← authors
·
overview
Songze Li
19
papers ·
385
citations ·
0
h-index
Hebei University of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedML: A Research Library and Benchmark for Federated Machine Learning
2020 · 358 citations
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
2022 · 21 citations
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
2023 · 3 citations
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
2024 · 1 citations
Towards Client Driven Federated Learning
2024 · 1 citations
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
2024 · 1 citations
Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack
2026
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
2025
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
2022
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
2022
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning
2024
Hidden Data Privacy Breaches in Federated Learning
2024
Top co-authors
Jiawei Shao
· 3
Jun Zhang
· 3
Xueluan Gong
· 3
Yanbo Dai
· 3
Yuchang Sun
· 3
Chenqing Zhu
· 2
Duanyi Yao
· 2
Yuyi Mao
· 2
Abhishek Singh
· 1
and Chen Chen
· 1
Chaoyang He
· 1
Gaoning Pan
· 1
Topics
Federated Learning
Privacy
Edge Computing
Communication
Optimization
Data Heterogeneity
Adversarial Attacks