Mingshu Cong

According to our database, Mingshu Cong authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DualMatrix: Conquering zkSNARK for Large Matrix Multiplication.

Mingshu Cong, Tsz Hon Yuen, Siu-Ming Yiu

IACR Cryptol. ePrint Arch., 2025

Scalable zkSNARKs for Matrix Computations: A Generic Framework for Verifiable Deep Learning.

Mingshu Cong, Sherman S. M. Chow, Siu Ming Yiu, Tsz Hon Yuen

IACR Cryptol. ePrint Arch., 2025

2024

zkMatrix: Batched Short Proof for Committed Matrix Multiplication.

Mingshu Cong, Tsz Hon Yuen, Siu-Ming Yiu

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2020

A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning.

Mingshu Cong, Han Yu, Xi Weng, Siu-Ming Yiu

Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Sustainable Incentive Scheme for Federated Learning.

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang

IEEE Intell. Syst., 2020

A VCG-based Fair Incentive Mechanism for Federated Learning.

Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu

CoRR, 2020

Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean.

Mingshu Cong, Xi Weng, Han Yu, Jiabao Qu, Siu-Ming Yiu

CoRR, 2020

A Fairness-aware Incentive Scheme for Federated Learning.

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020