| Semi-synchronous federated learning for energy-efficient training and accelerated convergence in cross-silo settings D Stripelis, PM Thompson, JL Ambite ACM Transactions on Intelligent Systems and Technology (TIST) 13 (5), 1-29, 2022 | 54* | 2022 |
| Secure neuroimaging analysis using federated learning with homomorphic encryption D Stripelis, H Saleem, T Ghai, N Dhinagar, U Gupta, C Anastasiou, ... 17th International Symposium on Medical Information Processing and Analysis …, 2021 | 51 | 2021 |
| Mining public datasets for modeling intra-city PM2. 5 concentrations at a fine spatial resolution Y Lin, YY Chiang, F Pan, D Stripelis, JL Ambite, SP Eckel, R Habre Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017 | 51 | 2017 |
| Membership inference attacks on deep regression models for neuroimaging U Gupta, D Stripelis, PK Lam, P Thompson, JL Ambite, G Ver Steeg Medical Imaging with Deep Learning, 228-251, 2021 | 36 | 2021 |
| Applying multivariate segmentation methods to human activity recognition from wearable sensors’ data K Li, R Habre, H Deng, R Urman, J Morrison, FD Gilliland, JL Ambite, ... JMIR mHealth and uHealth 7 (2), e11201, 2019 | 36 | 2019 |
| Scaling neuroscience research using federated learning D Stripelis, JL Ambite, P Lam, P Thompson 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 1191-1195, 2021 | 31 | 2021 |
| 3D convolutional neural networks for classification of Alzheimer’s and Parkinson’s disease with T1-weighted brain MRI NJ Dhinagar, SI Thomopoulos, C Owens-Walton, D Stripelis, JL Ambite, ... 17th International Symposium on Medical Information Processing and Analysis …, 2021 | 22 | 2021 |
| A scalable data integration and analysis architecture for sensor data of pediatric asthma D Stripelis, JL Ambite, YY Chiang, SP Eckel, R Habre 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1407-1408, 2017 | 19 | 2017 |
| Evaluation of transfer learning methods for detecting Alzheimer’s disease with brain MRI NJ Dhinagar, SI Thomopoulos, P Rajagopalan, D Stripelis, JL Ambite, ... 18th International Symposium on Medical Information Processing and Analysis …, 2023 | 18 | 2023 |
| Federated progressive sparsification (purge, merge, tune)+ D Stripelis, U Gupta, GV Steeg, JL Ambite arXiv preprint arXiv:2204.12430, 2022 | 13 | 2022 |
| A federated learning architecture for secure and private neuroimaging analysis D Stripelis, U Gupta, H Saleem, N Dhinagar, T Ghai, C Anastasiou, ... Patterns 5 (8), 2024 | 11* | 2024 |
| Accelerating federated learning in heterogeneous data and computational environments D Stripelis, JL Ambite arXiv preprint arXiv:2008.11281, 2020 | 10 | 2020 |
| Performance weighting for robust federated learning against corrupted sources D Stripelis, M Abram, JL Ambite arXiv preprint arXiv:2205.01184, 2022 | 9 | 2022 |
| Federated learning over harmonized data silos D Stripelis, JL Ambite International Workshop on Health Intelligence, 27-41, 2023 | 5 | 2023 |
| Extending apache spark with a mediation layer D Stripelis, C Anastasiou, JL Ambite proceedings of the international workshop on semantic big data, 1-6, 2018 | 4 | 2018 |
| Federated Deep Learning for Detecting Alzheimer’s Disease in Multi‐Cohort Brain MRI D Stripelis, NJ Dhinagar, RVS Romero, SI Thomopoulos, PM Thompson, ... Alzheimer's & Dementia 19, e065998, 2023 | 3 | 2023 |
| Polyrouter: A multi-llm querying system D Stripelis, Z Hu, J Zhang, Z Xu, A Shah, H Jin, Y Yao, S Avestimehr, C He arXiv preprint arXiv:2408.12320, 2024 | 2 | 2024 |
| Digital Privacy in Healthcare: State-of-the-art and Future Vision SS Mahadik, PM Pawar, R Muthalagu, NR Prasad, SK Hawkins, ... IEEE Access, 2024 | 2 | 2024 |
| Federated named entity recognition J Mathew, D Stripelis, JL Ambite arXiv preprint arXiv:2203.15101, 2022 | 2 | 2022 |
| ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency Y Yao, H Jin, AD Shah, S Han, Z Hu, Y Ran, D Stripelis, Z Xu, ... arXiv preprint arXiv:2408.00008, 2024 | 1 | 2024 |
Jose-Luis AmbiteAssociate Research Professor, Computer Science; Research Team Leader, Information Sciences Institute在 isi.edu 的电子邮件经过验证
