TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement

Cheng Wei

The paper introduces TriShield, a three‑component defense that eliminates privacy backdoor reconstruction attacks in federated fine‑tuning of large language models without any loss…