Graph-learned, Lagrangian-constrained malicious LoRA updates can degrade federated LLM accuracy by up to 26% while matching benign distance and cosine statistics.
Overcoming noisy labels and non-iid data in edge federated learning
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Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
Graph-learned, Lagrangian-constrained malicious LoRA updates can degrade federated LLM accuracy by up to 26% while matching benign distance and cosine statistics.