A two-stage framework of hierarchical decentralized training plus personalized test-time optimization raises LLM hardware generation accuracy and speed in HLS and Qiskit benchmarks.
Fw-merging: Scaling model merging with frank-wolfe optimization
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Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
A two-stage framework of hierarchical decentralized training plus personalized test-time optimization raises LLM hardware generation accuracy and speed in HLS and Qiskit benchmarks.