| A novel policy for locational marginal price calculation in distribution systems based on loss reduction allocation using game theory K Shaloudegi, N Madinehi, SH Hosseinian, HA Abyaneh IEEE transactions on power systems 27 (2), 811-820, 2012 | 161 | 2012 |
| Federated learning meets multi-objective optimization Z Hu, K Shaloudegi, G Zhang, Y Yu IEEE Transactions on Network Science and Engineering, 2022 | 87 | 2022 |
| SDP relaxation with randomized rounding for energy disaggregation K Shaloudegi, A György, C Szepesvári, W Xu Advances in Neural Information Processing Systems, 4978-4986, 2016 | 30 | 2016 |
| Fedmgda+: Federated learning meets multi-objective optimization Z Hu, K Shaloudegi, G Zhang, Y Yu arXiv preprint arXiv:2006.11489, 2020 | 27 | 2020 |
| Optimum design of PID controller in AVR system using intelligent methods N Madinehi, K Shaloudegi, M Abedi, HA Abyaneh 2011 IEEE Trondheim PowerTech, 1-6, 2011 | 20 | 2011 |
| Methods and apparatuses for defense against adversarial attacks on federated learning systems K Shaloudegi US Patent 11,651,292, 2023 | 5 | 2023 |
| Fedmgda+: federated learning meets multi-objective optimization. CoRR abs/2006.11489 (2020) Z Hu, K Shaloudegi, G Zhang, Y Yu arXiv preprint arXiv:2006.11489, 2020 | 5 | 2020 |
| Methods and apparatuses for federated learning K Shaloudegi, YU Yaoliang US Patent App. 16/881,999, 2021 | 3 | 2021 |
| An Operator Splitting View of Federated Learning S Malekmohammadi, K Shaloudegi, Z Hu, Y Yu arXiv preprint arXiv:2108.05974, 2021 | 2 | 2021 |
| Servers, methods and systems for second order federated learning K Shaloudegi, R Tutunov, HBOU AMMAR US Patent App. 17/161,224, 2022 | 1 | 2022 |
| Splitting algorithms for federated learning S Malekmohammadi, K Shaloudegi, Z Hu, Y Yu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 1 | 2021 |
| Adaptive MCMC via Combining Local Samplers K Shaloudegi, A György Proceedings of the 22 th International Conference on Artificial Intelligence …, 2019 | 1 | 2019 |
| Methods and systems for updating optimization parameters of a parameterized optimization algorithm in federated learning K Shaloudegi, YU Yaoliang, J Luo US Patent App. 17/965,274, 2023 | | 2023 |
| A Unifying Framework for Federated Learning S Malekmohammadi, K Shaloudegi, Z Hu, Y Yu Federated and Transfer Learning, 87-115, 2022 | | 2022 |
| Efficient inference and sampling methods for probabilistic models K Shaloudegi Imperial College London, 2019 | | 2019 |
Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca
