Wei Cao

Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning

2021 · arXiv (Cornell University)

Class-imbalance is a common problem in machine learning practice. Typical Imbalanced Learning (IL) methods balance the data via intuitive class-wise resampling or reweighting. However, previous studies suggest that beyond class-imbalance, intrinsic data difficulty factors like …

Zeros of polynomials over finite Witt rings

2023 · arXiv (Cornell University)

Let $\mathbb{F}_q$ denote the finite field of characteristic $p$ and order $q$. Let $\mathbb{Z}_q$ denote the unramified extension of the $p$-adic rational integers $\mathbb{Z}_p$ with residue field $\mathbb{F}_q$. Given two positive integers $m,n$, define a …

Research on Deep Learning Based on Decentralized Differential Privacy Protection

2024

Most existing decentralized learning algorithms focus on improving the convergence speed and communication efficiency of models, without paying too much attention to the issue of participant privacy leakage. Differential privacy is currently one of the …