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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Zi-Yu Li

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Book Open access Aug 2026

TTMC: Brain-Inspired Test-Time Memory Calibration with Orthogonal Projection for Online Continual Learning

Test-Time Memory Calibration (TTMC), a novel gradient-free analytic framework that introduces a transductive calibration mechanism that seamlessly fuses the second-order statistics of the unlabelled test stream into the accumulated long-term memory via a closed-form solution, allowing for real-time alignment with the t...

Yuyang Han, Zi-Yu Li, Diwei Su et al. · 0 citations
Book Open access Aug 2026

TTMC: Brain-Inspired Test-Time Memory Calibration with Orthogonal Projection for Online Continual Learning

Existing Online Continual Learning (OCL) methods, particularly those based on Parameter-Efficient Fine-Tuning (PEFT), predominantly operate under a Static Inference Assumption, which means freezing model parameters immediately after training. This paradigm ignores the inevitable covariate shift in non-stationary test s...

Yuyang Han, Ziyu Li, Diwei Su et al. · 0 citations

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