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Author

Kichang Lee

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#artificial intelligence Preprint Sep 2026

How Linear Attention Remembers

Together, these results reveal how fixed-size recurrent memory supports selective recall despite shared storage, while exposing the interference and capacity limits that distinguish it from token-addressable KV memory.

Kichang Lee, JaeYeon Park, Songkuk Kim et al. · 0 citations
#machine learning Preprint Sep 2026

Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

XCal-FL is proposed, a closed-loop, explainability-driven local training algorithm for image classification in cross-silo FL that dynamically calibrates DP noise from three complementary signals, suggesting explainability is a distinct dimension of the privacy trade-off that cannot be inferred from utility alone, with...

Michael Khavkin, Kichang Lee, Jaeho Jin et al. · 0 citations

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