# READ UP ON OUR WORK

# PUBLICATIONS

CONFERENCE
AoI-aware Federated Unlearning for Streaming Data with Online Client Selection and Pricing

Y. Cui, N. Ding*, and M. Cheung

IEEE International Conference on Computer Communications (INFOCOM), 2025. (Acceptance rate 18.7%, CCF A)

OSTOR: Online Scheduling Framework for Trading Continuous Queries

J. Cheng, N. Ding, J. C.S. Lui, and J. Huang

IEEE International Conference on Data Engineering (ICDE), 2025. (CCF A)

Continuous Query-based Data Trading

J. Cheng, N. Ding, J. C.S. Lui, and J. Huang

ACM SIGMETRICS, 2024. (Acceptance rate 10%, CCF B)

Cooperative Multi-source Data Trading

J. Cheng, N. Ding, J. C.S. Lui, and J. Huang

IEEE Global Communications Conference (GLOBECOM), 2024. (TH-CPL B)

Strategic Data Revocation in Federated Unlearning

N. Ding, E. Wei, and R. Berry

IEEE International Conference on Computer Communications (INFOCOM), 2024. (Acceptance rate 19.6%, CCF A)

Incentive Mechanism Design for Federated Learning and Unlearning

N. Ding, Z. Sun, E. Wei, and R. Berry

ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), 2023. (Acceptance rate 21.9%, CCF B)

Joint Participation Incentive and Network Pricing Design for Federated Learning

N. Ding, L. Gao, and J. Huang

IEEE International Conference on Computer Communications (INFOCOM), 2023. (Acceptance rate 19.2%, CCF A)

Optimal Pricing Under Vertical and Horizontal Interaction Structures for IoT Networks

N. Ding, L. Gao, J. Huang, Xin Li, and Xin Chen

IEEE International Conference on Computer Communications (INFOCOM), 2022. (Acceptance rate 19.9%, CCF A, collaborated with Huawei)

Incentive Mechanism Design for Distributed Coded Machine Learning

N. Ding, Z. Fang, L. Duan, and J. Huang

IEEE International Conference on Computer Communications (INFOCOM), 2021. (Acceptance rate 19.9%, CCF A)

Information Disclosure Game on Sharing Platforms

N. Ding, Z. Fang, and J. Huang

IEEE Global Communications Conference (GLOBECOM), 2020. (TH-CPL B)

Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information

N. Ding, Z. Fang, and J. Huang

International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2020. (TH-CPL B)

JOURNEL
COTRA: A Data Trading Framework for Multi-source Data Cooperation

J. Cheng, N. Ding, J. C.S. Lui, and J. Huang

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF A, JCR Q1)
Incentivized Federated Learning and Unlearning

N. Ding, Z. Sun, E. Wei, and R. Berry

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF A, JCR Q1)
Incentive Mechanism Design for Federated Learning with Dynamic Network Pricing

N. Ding, L. Gao, and J. Huang

IEEE Transactions on Mobile Computing (TMC), 2025. (CCF A, JCR Q1)
An Overview on Economic Analysis of Internet of Everything

N. Ding, X. Ouyang, L. Gao, J. Huang, and G. Xing

IEEE Communications Surveys & Tutorials (COMST), 2025. (IF=34.4, JCR Q1)
Optimal Pricing Design for Coordinated and Uncoordinated IoT Networks

N. Ding, L. Gao, and J. Huang

IEEE Transactions on Mobile Computing (TMC), 2023. (CCF A, JCR Q1)
Optimization Design for Federated Learning in Heterogeneous 6G Networks

B. Luo, X. Ouyang, P. Sun, P. Han, N. Ding, and J. Huang

IEEE Network, vol. 37, no. 2, pp. 38-43, 2023.
Optimal Incentive and Load Design for Distributed Coded Machine Learning

N. Ding, Z. Fang, L. Duan, and J. Huang

IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 7, pp. 2090-2104, Jul. 2021. (CCF A, JCR Q1)
Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information

N. Ding, Z. Fang, and J. Huang

IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 1, pp. 186-200, Jan. 2021. (CCF A, JCR Q1)