Llama — Field Evidence
paperUnverified
Llama · Llama · incident
Field note
TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement — Federated fine-tuning of large language models (LLMs) enables collaborative training without exposing raw d
collected 2026-07-31original 2026-07-30
Does this shift the US–China race?
Be the first to call it
Impact on the index
Regulation · major
US -110China +30
Directional contribution — before recency decay and per-type diminishing returns. How it works →
Related Front
US vs ChinaLikely
U.S. FrontiervsChina Open-Weight
Likely — capability gap narrowing on common tasks
Letters from the Front
Be the first to file a report.