Dimitris Stripelis
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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
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
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
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
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
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
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
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
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
Secure federated learning for neuroimaging
D Stripelis, U Gupta, H Saleem, N Dhinagar, T Ghai, R Sanchez, ...
arXiv preprint arXiv:2205.05249, 2022
Accelerating federated learning in heterogeneous data and computational environments
D Stripelis, JL Ambite
arXiv preprint arXiv:2008.11281, 2020
Performance weighting for robust federated learning against corrupted sources
D Stripelis, M Abram, JL Ambite
arXiv preprint arXiv:2205.01184, 2022
Federated progressive sparsification (purge, merge, tune)+
D Stripelis, U Gupta, GV Steeg, JL Ambite
arXiv preprint arXiv:2204.12430, 2022
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
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
Federated learning over harmonized data silos
D Stripelis, JL Ambite
International Workshop on Health Intelligence, 27-41, 2023
Federated named entity recognition
J Mathew, D Stripelis, JL Ambite
arXiv preprint arXiv:2203.15101, 2022
MR-Cubes: On-The-fly computation of location popularity from check-in data streams
G Constantinou, C Anastasiou, D Stripelis, C Shahabi
2019 20th IEEE International Conference on Mobile Data Management (MDM), 27-36, 2019
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows
D Stripelis, C Anastasiou, P Toral, A Asghar, JL Ambite
Proceedings of the 4th International Workshop on Distributed Machine …, 2023
Alzheimer’s Disease Detection with a 3D Convolutional Neural Network using Gray Matter Maps from T1‐weighted Brain MRI
NJ Dhinagar, SI Thomopoulos, C Owens‐Walton, D Stripelis, JL Ambite, ...
Alzheimer's & Dementia 18, e066446, 2022
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