| Tifl: A tier-based federated learning system Z Chai, A Ali, S Zawad, S Truex, A Anwar, N Baracaldo, Y Zhou, H Ludwig, ... Proceedings of the 29th international symposium on high-performance parallel …, 2020 | 252 | 2020 |
| Curse or redemption? how data heterogeneity affects the robustness of federated learning S Zawad, A Ali, PY Chen, A Anwar, Y Zhou, N Baracaldo, Y Tian, F Yan Proceedings of the AAAI conference on artificial intelligence 35 (12), 10807 …, 2021 | 49 | 2021 |
| Swift machine learning model serving scheduling: a region based reinforcement learning approach H Qin, S Zawad, Y Zhou, L Yang, D Zhao, F Yan Proceedings of the International Conference for High Performance Computing …, 2019 | 26 | 2019 |
| Towards decentralized deep learning with differential privacy HP Cheng, P Yu, H Hu, S Zawad, F Yan, S Li, H Li, Y Chen International Conference on Cloud Computing, 130-145, 2019 | 23 | 2019 |
| AI augmented Edge and Fog computing: Trends and challenges S Tuli, F Mirhakimi, S Pallewatta, S Zawad, G Casale, B Javadi, F Yan, ... Journal of Network and Computer Applications, 103648, 2023 | 17 | 2023 |
| Reinforcement-learning-empowered MLaaS scheduling for serving intelligent internet of things H Qin, S Zawad, Y Zhou, S Padhi, L Yang, F Yan IEEE Internet of Things Journal 7 (7), 6325-6337, 2020 | 15 | 2020 |
| Tiff: Tokenized incentive for federated learning J Han, AF Khan, S Zawad, A Anwar, NB Angel, Y Zhou, F Yan, AR Butt 2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 407-416, 2022 | 14 | 2022 |
| Epnas: Efficient progressive neural architecture search Y Zhou, P Wang, S Arik, H Yu, S Zawad, F Yan, G Diamos arXiv preprint arXiv:1907.04648, 2019 | 8 | 2019 |
| Heterogeneity-aware adaptive federated learning scheduling J Han, AF Khan, S Zawad, A Anwar, NB Angel, Y Zhou, F Yan, AR Butt 2022 IEEE International Conference on Big Data (Big Data), 911-920, 2022 | 7 | 2022 |
| Smlt: A serverless framework for scalable and adaptive machine learning design and training A Ali, S Zawad, P Aditya, IE Akkus, R Chen, F Yan arXiv preprint arXiv:2205.01853, 2022 | 7 | 2022 |
| Tokenized incentive for federated learning J Han, AF Khan, S Zawad, A Anwar, NB Angel, Y Zhou, F Yan, AR Butt Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 6 | 2022 |
| Systems bias in federated learning S Zawad, F Yan, A Anwar Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 2 | 2022 |
| Demystifying hyperparameter optimization in federated learning S Zawad, J Yi, M Zhang, C Li, F Yan, Y He | 2 | 2021 |
| Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach SMS Mohammadabadi, S Zawad, F Yan, L Yang arXiv preprint arXiv:2312.05642, 2023 | 1 | 2023 |
| Scheduled federated learning for enhanced search A Anwar, SA Zawad, Y Zhou, NB Angel US Patent 11,755,954, 2023 | 1 | 2023 |
| HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework S Zawad, A Anwar, Y Zhou, N Baracaldo, F Yan 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 1 | 2023 |
| DySR: Adaptive Super-Resolution via Algorithm and System Co-design S Zawad, C Li, Z Yao, E Zheng, Y He, F Yan The Eleventh International Conference on Learning Representations, 2022 | 1 | 2022 |
| Introduction to federated learning systems S Zawad, F Yan, A Anwar Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 1 | 2022 |
| Local Training and Scalability of Federated Learning Systems S Zawad, F Yan, A Anwar Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 1 | 2022 |
| Hyperparameter tuning for federated learning–systems and practices S Zawad, F Yan Federated Learning, 219-235, 2024 | | 2024 |
Feng YanUniversity of HoustonVerified email at central.uh.edu
