| Adaptive Personalized Federated Learning Y Deng, MM Kamani, M Mahdavi arXiv preprint arXiv:2003.13461, 2020 | 625 | 2020 |
| Federated learning with compression: Unified analysis and sharp guarantees F Haddadpour, MM Kamani, A Mokhtari, M Mahdavi International Conference on Artificial Intelligence and Statistics, 2350-2358, 2021 | 310 | 2021 |
| Local sgd with periodic averaging: Tighter analysis and adaptive synchronization F Haddadpour, MM Kamani, M Mahdavi, VR Cadambe Advances in neural information processing systems 33, 2019 | 232 | 2019 |
| Distributionally robust federated averaging Y Deng, MM Kamani, M Mahdavi Advances in neural information processing systems 34, 2021 | 151 | 2021 |
| Trading redundancy for communication: Speeding up distributed SGD for non-convex optimization F Haddadpour, MM Kamani, M Mahdavi, V Cadambe International Conference on Machine Learning, 2545-2554, 2019 | 84 | 2019 |
| Efficient fair principal component analysis MM Kamani, F Haddadpour, R Forsati, M Mahdavi Machine Learning, 2021 | 40 | 2021 |
| Take it or leave it: A survey study on operating system upgrade practices S Farhang, J Weidman, MM Kamani, J Grossklags, P Liu Proceedings of the 34th Annual Computer Security Applications Conference …, 2018 | 23 | 2018 |
| Skeleton Matching with Applications in Severe Weather Detection MM Kamani, F Farhat, S Wistar, JZ Wang Applied Soft Computing, 2018 | 17 | 2018 |
| FedRule: Federated rule recommendation system with graph neural networks Y Yao, MM Kamani, Z Cheng, L Chen, C Joe-Wong, T Liu Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 16 | 2023 |
| Shape matching using skeleton context for automated bow echo detection MM Kamani, F Farhat, S Wistar, JZ Wang 2016 IEEE International Conference on Big Data (Big Data), 901-908, 2016 | 16 | 2016 |
| Local sgd optimizes overparameterized neural networks in polynomial time Y Deng, MM Kamani, M Mahdavi International Conference on Artificial Intelligence and Statistics, 6840-6861, 2022 | 15 | 2022 |
| Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach MM Kamani, MF Faysal Khan, M Mahdavi, V Narayanan 57th ACM/IEEE Design Automation Conference (DAC), 2020 | 15* | 2020 |
| Targeted Data-driven Regularization for Out-of-Distribution Generalization MM Kamani, S Farhang, M Mahdavi, JZ Wang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 14 | 2020 |
| Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing MM Kamani, R Forsati, JZ Wang, M Mahdavi arXiv preprint arXiv:2104.01634, 2021 | 13 | 2021 |
| Intelligent portrait composition assistance: Integrating deep-learned models and photography idea retrieval F Farhat, MM Kamani, S Mishra, JZ Wang Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 17-25, 2017 | 10 | 2017 |
| Targeted Meta-Learning for Critical Incident Detection in Weather Data MM Kamani, S Farhang, M Mahdavi, JZ Wang International Conference on Machine Learning, Workshop on "Climate Change …, 2019 | 9 | 2019 |
| Learning distributionally robust models at scale via composite optimization F Haddadpour, MM Kamani, M Mahdavi, A Karbasi arXiv preprint arXiv:2203.09607, 2022 | 5 | 2022 |
| CAPTAIN: Comprehensive composition assistance for photo taking F Farhat, MM Kamani, JZ Wang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 5 | 2022 |
| Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation S Chennupati, MM Kamani, Z Cheng, L Chen The British Machine Vision Conference (BMVC), 2021 | 5 | 2021 |
| WYZE rule: federated rule dataset for rule recommendation benchmarking MM Kamani, Y Yao, H Lyu, Z Cheng, L Chen, L Li, C Joe-Wong, J Luo Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Mehrdad MahdaviAssociate Professor of Computer Science, Pennsylvania State UniversityVerified email at psu.edu
