| Taming communication and sample complexities in decentralized policy evaluation for cooperative multi-agent reinforcement learning X Zhang, Z Liu, J Liu, Z Zhu, S Lu Advances in Neural Information Processing Systems 34, 18825-18838, 2021 | 24 | 2021 |
| Energy-aware material selection for product with multicomponent under cloud environment L Bi, Y Zuo, F Tao, TW Liao, Z Liu Journal of Computing and Information Science in Engineering 17 (3), 031007, 2017 | 13 | 2017 |
| Interact: Achieving low sample and communication complexities in decentralized bilevel learning over networks Z Liu, X Zhang, P Khanduri, S Lu, J Liu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 11 | 2022 |
| Net-fleet: Achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data X Zhang, M Fang, Z Liu, H Yang, J Liu, Z Zhu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 8 | 2022 |
| SAGDA: Achieving Communication Complexity in Federated Min-Max Learning H Yang, Z Liu, X Zhang, J Liu Advances in Neural Information Processing Systems 35, 7142-7154, 2022 | 7 | 2022 |
| Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR Z Liu, H Duan, Y Yang, X Hu 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 5 | 2016 |
| DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization P Qiu, Y Li, Z Liu, P Khanduri, J Liu, NB Shroff, ES Bentley, K Turck IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 2 | 2023 |
| PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities Z Liu, X Zhang, S Lu, J Liu In Proceedings of the Twenty-fourth International Symposium on Theory …, 2023 | 2 | 2023 |
| Prometheus: taming sample and communication complexities in constrained decentralized stochastic bilevel learning Z Liu, X Zhang, P Khanduri, S Lu, J Liu International Conference on Machine Learning, 22420-22453, 2023 | 1 | 2023 |
| Federated multi-objective learning H Yang, Z Liu, J Liu, C Dong, M Momma Advances in Neural Information Processing Systems 2023, 2023 | | 2023 |
| Synthesis: A semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters Z Liu, X Zhang, J Liu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | | 2022 |
| Prometheus: Endowing Low Sample and Communication Complexities to Constrained Decentralized Stochastic Bilevel Learning Z Liu, X Zhang, P Khanduri, S Lu, J Liu | | 2022 |
