2 citations · 2 across the 7 of their papers we have counts for
8 papers
Governing AI Forgetting: Auditing for Machine Unlearning Compliance
Qinqi Lin, Ningning Ding, Lingjie Duan +1
Despite legal mandates for the right to be forgotten, AI operators routinely fail to comply with data deletion requests. While machine unlearning (MU) provides a technical solution…
Trading Vector Data in Vector Databases
Jin Cheng, Xiangxiang Dai, Ningning Ding +2
Vector data trading is essential for cross-domain learning with vector databases, yet it remains largely unexplored. We study this problem under online learning, where sellers face…
Information Disclosure under Competition in Sharing Systems
Ningning Ding, Zhixuan Fang, Jianwei Huang
Sharing systems have facilitated the redistribution of underused resources by providing convenient online marketplaces for individual sellers and buyers. However, sellers in these…
Joint Participation Incentive and Network Pricing Design for Federated Learning
Ningning Ding, Lin Gao, Jianwei Huang
Federated learning protects users' data privacy through sharing users' local model parameters (instead of raw data) with a server. However, when massive users train a large machine…
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…
Optimization Design for Federated Learning in Heterogeneous 6G Networks
Bing Luo, Xiaomin Ouyang, Peng Sun +3
With the rapid advancement of 5G networks, billions of smart Internet of Things (IoT) devices along with an enormous amount of data are generated at the network edge. While still a…
Eigenvalue Mapping-based Discretization of the Generalized Super-Twisting Algorithm
Ningning Ding
In this paper, an eigenvalue mapping-based discretization method is applied to discretize the generalized super-twisting algorithm. The existing eigenvalue mapping is extended to t…
Incentive Mechanism Design for Distributed Coded Machine Learning
Ningning Ding, Zhixuan Fang, Lingjie Duan +1
A distributed machine learning platform needs to recruit many heterogeneous worker nodes to finish computation simultaneously. As a result, the overall performance may be degraded…