FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense

arXiv:2607.19674 · cs.CR, cs.AI, cs.LG · Submitted 2026-07-22 · Read on arXiv

Chenyu Zhou, Yabin Peng, Wei Huang, Kunlin Li, Shuaishuai Zhang, Xinyuan Miao

cs.CR, cs.AI, cs.LG

Submitted: 2026-07-22

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 50× in this paper · explained in 1 episode
• Accuracy — 13× in this paper · explained in 1 episode
• Adaptation — 8× in this paper · explained in 1 episode
• Robustness — 8× in this paper · explained in 5 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Distillation — 7× in this paper · explained in 2 episodes
• Heterogeneous Graph — 7× in this paper · explained in 2 episodes
• Clustering — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Federated Learning — 4× in this paper · explained in 14 episodes
• GNNs — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Local Optimization — 3× in this paper · explained in 2 episodes
• Pruning — 3× in this paper · explained in 4 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Semantic Understanding — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adaptive Mechanism — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Attack Success Rate (ASR) — 2× in this paper · explained in 2 episodes
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Fusion Mechanism — 1× in this paper · explained in 1 episode
• Adaptive Strategy — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• LoRA Adaptation — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
• Data-centric Federated Graph Learning with Large Language Models
• LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning
• pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
• The Llama 3 Herd of Models

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