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Haibing Guan — most-cited papers & profile · AI for Code
← authors
·
overview
Haibing Guan
19
papers ·
19
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
2022 · 15 citations
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
2023 · 1 citations
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
2023 · 1 citations
GAUGE: Grading Agent-Built Financial Models Without a Golden Answer
2026
FWeb3: A Practical Incentive-Aware Federated Learning Framework
2026
FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
2026
pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI
2026
POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning
2025
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
2025
Poisoning with A Pill: Circumventing Detection in Federated Learning
2024
Top co-authors
Beijun Shen
· 1
Chengxi Pan
· 1
Haotian Lin
· 1
Jianghong Huang
· 1
Jiaqi Ge
· 1
Mengchieh Chuang
· 1
Mengfan Li
· 1
Silin Chen
· 1
Xiaodong Gu
· 1
Yuling Shi
· 1
Topics
Federated Learning
Privacy
Optimization
Security
Communication
Multi-Agent
Data Heterogeneity
Adversarial Attacks