Abstract: Data valuation, critical for quantifying individual data points’ contributions to model performance, faces challenges in noisy, high-dimensional medical datasets due to inherent feature ...
Abstract: Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients ...
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