5 citations · 19 across the 15 of their papers we have counts for
8 papers · 1 filter
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…
Learning to Price Vehicle Service with Unknown Demand
Haoran Yu, Ermin Wei, Randall A. Berry
It can be profitable for vehicle service providers to set service prices based on users' travel demand on different origin-destination pairs. The prior studies on the spatial prici…
Monetizing Mobile Data via Data Rewards
Haoran Yu, Ermin Wei, Randall A. Berry
Most mobile network operators generate revenues by directly charging users for data plan subscriptions. Some operators now also offer users data rewards to incentivize them to watc…