44 citations · 155 across the 38 of their papers we have counts for
40 papers
Strategic Data Revocation in Federated Unlearning
Ningning Ding, Ermin Wei, Randall Berry
By allowing users to erase their data's impact on federated learning models, federated unlearning protects users' right to be forgotten and data privacy. Despite a burgeoning body…
Supply Function Equilibrium in Networked Electricity Markets
YuanzhangXiao, ChaithanyaBandi, Ermin Wei
We study deregulated power markets with strategic power suppliers. In deregulated markets, each supplier submits its supply function (i.e., the amount of electricity it is willing…
Optimal EV Charging Decisions Considering Charging Rate Characteristics and Congestion Effects
Lihui Yi, Ermin Wei
With the rapid growth in the demand for plug-in electric vehicles (EVs), the corresponding charging infrastructures are expanding. These charging stations are located at various pl…
Incentivized Federated Learning and Unlearning
Ningning Ding, Zhenyu Sun, Ermin Wei +1
To protect users' right to be forgotten in federated learning, federated unlearning aims at eliminating the impact of leaving users' data on the global learned model. The current r…
Exact Community Recovery in the Geometric SBM
Julia Gaudio, Xiaochun Niu, Ermin Wei
We study the problem of exact community recovery in the Geometric Stochastic Block Model (GSBM), where each vertex has an unknown community label as well as a known position, gener…
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
Zhenyu Sun, Xiaochun Niu, Ermin Wei
Generalization performance is a key metric in evaluating machine learning models when applied to real-world applications. Good generalization indicates the model can predict unseen…