2 papers
cs.LG2025
Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy
ZiHeng Huang, Di Wu, Jun Bai +4
Machine unlearning is critical for enforcing data deletion rights like the "right to be forgotten." As a decentralized paradigm, Federated Learning (FL) also requires unlearning, b…
stat.ME2022
Heavy-Tailed Loss Frequencies from Mixtures of Negative Binomial and Poisson Counts
Jiansheng Dai, Ziheng Huang, Michael R. Powers +1
Heavy-tailed random variables have been used in insurance research to model both loss frequencies and loss severities, with substantially more emphasis on the latter. In the presen…