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Yuchen Liu — most-cited papers & profile · Federated Learning
← authors
·
overview
Yuchen Liu
69
papers ·
297
citations ·
2
h-index
Zhejiang Sci-Tech University · University of Science and Technology Beijing
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
2022 · 15 citations
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
2024 · 6 citations
Byzantine-Robust Decentralized Federated Learning
2024 · 4 citations
Poisoning Attacks and Defenses to Federated Unlearning
2025 · 1 citations
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
2023 · 1 citations
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning
2026
Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
2025
A Joint Gradient and Loss Based Clustered Federated Learning Design
2023
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices
2024
Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning
2024
Top co-authors
Zifan Zhang
· 4
Chen Chen
· 3
Lingjuan Lyu
· 3
Minghong Fang
· 3
Gang Chen
· 2
Jia Liu
· 1
Junkai Zhang
· 1
Jun Wu
· 1
Ka-Ho Chow
· 1
Kai Zhou
· 1
Mingzhe Chen
· 1
Wenqi Wei
· 1
Topics
Federated Learning
Privacy
Communication
cs.LG
cs.AI
cs.CR
Optimization
Security
Adversarial Attacks
Data Heterogeneity