| FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity Y Gong*, Y Li*, NM Freris 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2575-2587, 2022 | 31 | 2022 |
| DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization Y Li, NM Freris, P Voulgaris, D Stipanovic 2021 60th IEEE Conference on Decision and Control (CDC), 3343-3348, 2021 | 8 | 2021 |
| A Communication Efficient Quasi-Newton Method for Large-scale Distributed Multi-agent Optimization Y Li, PG Voulgaris, NM Freris IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022 | 6 | 2022 |
| BFGS-ADMM for Large-Scale Distributed Optimization Y Li, Y Gong, NM Freris, P Voulgaris, D Stipanovic 2021 60th IEEE Conference on Decision and Control (CDC), 1689-1694, 2021 | 6 | 2021 |
| D-SOP: Distributed second order proximal method for convex composite optimization Y Li, NM Freris, P Voulgaris, D Stipanović 2020 American Control Conference (ACC), 2844-2849, 2020 | 6 | 2020 |
| Decentralized model predictive control of urban drainage systems Y Li, D Stipanović, P Voulgaris, Z Gu WSEAS Transactions on Systems and Control 14, 247-256, 2018 | 5 | 2018 |
| Communication Efficient Curvature Aided Primal-dual Algorithms for Decentralized Optimization Y Li, PG Voulgaris, DM Stipanovic, NM Freris IEEE Transactions on Automatic Control, 2023 | 3 | 2023 |
| Distributed Primal-dual Optimization for Heterogeneous Multi-agent Systems Y Li, P Voulgaris, NM Freris 2022 61st IEEE Conference on Decision and Control (CDC), 2022 | 1 | 2022 |
Nikolaos M. FrerisProfessor of Computer Science, University of Science and Technology of China (USTC)Verifierad e-postadress på ustc.edu.cn
