Outsourced model fine-tuning requires reliable task allocation, result validation, and incentives for quality. We present TrustCompute, a compute-sharing platform integrating two-stage adapter verification, reputation-aware scheduling, quality-based payments, and auditable ledger records for LoRA fine-tuning. Our evalu...
Lin-Fa Lee, Yi-Yu Chang, Kuo-Hui Yeh· Journal of Reliable and Secu...· 0 citations
This work proposes WebMCP-Phalanx, a dual-layer agent runtime architecture that provides a browser-native trust anchor that binds each tool to its registering principal through cryptographically protected capability credentials and propagates provenance labels throughout the tool lifecycle.
This paper proposes a parameter-free truncated pseudoinverse solver which removes collapsed directions prior to inversion, and achieves 81.42\% top-1 accuracy, outperforming prior post-training methods and fine-tuning-based baselines.
Lin-Fa Lee, Yi-Yu Chang, Kuo-Hei Yeh· 0 citations
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