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#federated learning Conference Sep 2026

Personalized Private-Shared Federated Model with an Application to Distributed Additive Manufacturing

Currently, many small and medium-sized organizations struggle with limited data availability and computational resources, leading to poor predictive capabilities due to data isolation. Federated Learning (FL) addresses this by enabling collaborative model training without data sharing, overcoming data silos. However, F...

An-Yi Li, Jia Liu · 0 citations

Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length

LaRT is proposed, which jointly models both the response accuracy and CoT length by introducing a key correlation parameter between the latent ability and the latent speed, and derives an efficient stochastic approximation Expectation-Maximization algorithm for parameter estimation.

Zhi-Yu Xu, Jia Liu, Yixin Wang et al. · 7 citations · ⚡2

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