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stat.ME2026
CAIRO: Decoupling Order from Scale in Regression
Harri Vanhems, Yue Zhao, Peng Shi +1
Standard regression methods typically optimize a single pointwise objective, such as mean squared error, which conflates the learning of ordering with the learning of scale. This c…
cs.LG2026
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
Suprim Nakarmi, Junggab Son, Yue Zhao +1
Federated Graph Neural Networks (FedGNNs) facilitate collaborative learning across multiple clients with graph-structured data while preserving user privacy. However, emerging rese…