5 papers
Distributed Nash Equilibrium Seeking with Logarithmic Bit Rates over Digital Channels
Zihao Ren, Chengyang Jiang, Lei Wang +2
This paper introduces quantization techniques to reduce the communication complexity in the distributed Nash equilibrium (NE) seeking problem, achieving an exponential reduction in…
Noncooperative Game in Multi-controller System under Delayed and Asymmetric Information
Xin Li, Qingyuan Qi, Kemi Ding
We address a noncooperative game problem in multi-controller system under delayed and asymmetric information structure. Under these conditions, the classical separation principle f…
Minimum Clustering of Matrices Based on Phase Alignment
Honghao Wu, Kemi Ding, Li Qiu
Coordinating multi-agent systems requires balancing synchronization performance and controller implementation costs. To this end, we classify agents by their intrinsic properties,…
Decentralized Optimization with Amplified Privacy via Efficient Communication
Wei Huo, Changxin Liu, Kemi Ding +2
Decentralized optimization is crucial for multi-agent systems, with significant concerns about communication efficiency and privacy. This paper explores the role of efficient commu…
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
Wei Huo, Changxin Liu, Kemi Ding +2
This paper investigates the use of the cubic-regularized Newton method within a federated learning framework while addressing two major concerns that commonly arise in federated le…