| 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 | 344 | 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 | 69 | 2021 |
| 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 216, 103648, 2023 | 55 | 2023 |
| Granite code models: A family of open foundation models for code intelligence M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... arXiv preprint arXiv:2405.04324, 2024 | 40 | 2024 |
| 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 | 40 | 2019 |
| 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 | 36 | 2019 |
| 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 | 19 | 2022 |
| 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 | 18 | 2020 |
| Speed up federated learning in heterogeneous environments: a dynamic tiering approach SMS Mohammadabadi, S Zawad, F Yan, L Yang IEEE Internet of Things Journal, 2024 | 17 | 2024 |
| 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 | 15 | 2022 |
| 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 | 12 | 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 | 9 | 2022 |
| Granite code models: A family of open foundation models for code intelligence, 2024 M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... URL https://arxiv. org/abs/2405.04324, 2022 | 6 | 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 | 6 | 2019 |
| Systems bias in federated learning S Zawad, F Yan, A Anwar Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 4 | 2022 |
| Demystifying hyperparameter optimization in federated learning S Zawad, J Yi, M Zhang, C Li, F Yan, Y He | 4 | 2022 |
| Hyperparameter tuning for federated learning–systems and practices S Zawad, F Yan Federated Learning, 219-235, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| Introduction to federated learning systems S Zawad, F Yan, A Anwar Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 2 | 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 | 2 | 2022 |
