The paper claims the first gradient inversion attack on adapter-based PEFT in federated learning, reconstructing private images from adapter gradients via a poisoned pretrained model.
QSGD: communication-efficient SGD via gradient quantization and encoding
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Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
The paper claims the first gradient inversion attack on adapter-based PEFT in federated learning, reconstructing private images from adapter gradients via a poisoned pretrained model.