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cs.LG2026
An Exploratory Study to Repurpose LLMs to a Unified Architecture for Time Series Classification
Hansen He, Shuheng Li
Time series classification (TSC) is a core machine learning problem with broad applications. Recently there has been growing interest in repurposing large language models (LLMs) fo…
cs.LG2025
Orthogonal Calibration for Asynchronous Federated Learning
Jiayun Zhang, Shuheng Li, Haiyu Huang +3
Asynchronous federated learning mitigates the inefficiency of conventional synchronous aggregation by integrating updates as they arrive and adjusting their influence based on stal…