| Asynchronous online federated learning for edge devices with non-iid data Y Chen, Y Ning, M Slawski, H Rangwala 2020 IEEE International Conference on Big Data (Big Data), 15-24, 2020 | 517 | 2020 |
| FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers Z Chai, Y Chen, A Anwar, L Zhao, Y Cheng, H Rangwala Proceedings of the International Conference for High Performance Computing …, 2021 | 259* | 2021 |
| Running out of stem: a comparative study across stem majors of college students at-risk of dropping out early Y Chen, A Johri, H Rangwala Proceedings of the 8th international conference on learning analytics and …, 2018 | 111 | 2018 |
| Asynchronous federated learning for sensor data with concept drift Y Chen, Z Chai, Y Cheng, H Rangwala 2021 IEEE International Conference on Big Data (Big Data), 4822-4831, 2021 | 48 | 2021 |
| Federated multi-task learning with hierarchical attention for sensor data analytics Y Chen, Y Ning, Z Chai, H Rangwala 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 35* | 2020 |
| WLA4ND: A wearable dataset of learning activities for young adults with neurodiversity to provide support in education H Zheng, P Mahapasuthanon, Y Chen, H Rangwala, AS Evmenova, ... Proceedings of the 23rd International ACM SIGACCESS Conference on Computers …, 2021 | 6 | 2021 |
| Attention-based multi-task learning for sensor analytics Y Chen, H Rangwala 2019 IEEE International Conference on Big Data (Big Data), 2187-2196, 2019 | 5 | 2019 |
| Sensor Analytics Using Multi-Task Learning and Federated Learning Y Chen George Mason University, 2021 | | 2021 |
Huzefa RangwalaProfessor of Computer Science, George Mason/ ML Scientist, AmazonAdresse e-mail validée de cs.gmu.edu