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Dimitris Stripelis
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Year
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
56*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
542021
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
522017
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
372021
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
372019
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
322021
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
222021
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
192017
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
182023
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
142024
Federated progressive sparsification (purge, merge, tune)+
D Stripelis, U Gupta, GV Steeg, JL Ambite
arXiv preprint arXiv:2204.12430, 2022
14*2022
Accelerating federated learning in heterogeneous data and computational environments
D Stripelis, JL Ambite
arXiv preprint arXiv:2008.11281, 2020
92020
Performance weighting for robust federated learning against corrupted sources
D Stripelis, M Abram, JL Ambite
arXiv preprint arXiv:2205.01184, 2022
82022
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
72023
Federated learning over harmonized data silos
D Stripelis, JL Ambite
International Workshop on Health Intelligence, 27-41, 2023
52023
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
42018
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
D Stripelis, Z Hu, J Zhang, Z Xu, AD Shah, H Jin, Y Yao, S Avestimehr, ...
arXiv preprint arXiv:2408.12320, 2024
3*2024
Federated named entity recognition
J Mathew, D Stripelis, JL Ambite
arXiv preprint arXiv:2203.15101, 2022
32022
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
22024
TorchOpera: A Compound AI System for LLM Safety
S Han, Z Hu, AD Shah, H Jin, Y Yao, D Stripelis, Z Xu, C He
arXiv preprint arXiv:2406.10847, 2024
22024
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Articles 1–20