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Dimitris Stripelis
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2020 – today
- 2024
- [j3]Shalaka S. Mahadik
, Pranav M. Pawar
Digital Privacy in Healthcare: State-of-the-Art and Future Vision. IEEE Access 12: 84273-84291 (2024) - [j2]Dimitris Stripelis
A federated learning architecture for secure and private neuroimaging analysis. Patterns 5(8): 101031 (2024) - [c9]Jose Sanchez-Viloria, Dimitris Stripelis, Panos P. Markopoulos, George Sklivanitis, Dimitris A. Pados:
Adaptive Federated Learning for Automatic Modulation Classification Under Class and Noise Imbalance. AAAI Spring Symposia 2024: 309 - [i15]Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He:
TorchOpera: A Compound AI System for LLM Safety. CoRR abs/2406.10847 (2024) - [i14]Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. CoRR abs/2408.00008 (2024) - [i13]Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He:
PolyRouter: A Multi-LLM Querying System. CoRR abs/2408.12320 (2024) - 2023
- [c8]Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, José Luis Ambite:
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. DistributedML@CoNEXT 2023: 11-19 - [i12]Dimitris Stripelis, José Luis Ambite:
Federated Learning over Harmonized Data Silos. CoRR abs/2305.08985 (2023) - [i11]Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, José Luis Ambite:
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. CoRR abs/2311.00334 (2023) - 2022
- [j1]Dimitris Stripelis
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings. ACM Trans. Intell. Syst. Technol. 13(5): 78:1-78:29 (2022) - [c7]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI 2022: 141-151 - [i10]Joel Mathew, Dimitris Stripelis, José Luis Ambite:
Federated Named Entity Recognition. CoRR abs/2203.15101 (2022) - [i9]Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, José Luis Ambite:
Federated Progressive Sparsification (Purge, Merge, Tune)+. CoRR abs/2204.12430 (2022) - [i8]Dimitris Stripelis, Marcin Abram
Performance Weighting for Robust Federated Learning Against Corrupted Sources. CoRR abs/2205.01184 (2022) - [i7]Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil J. Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi
Secure Federated Learning for Neuroimaging. CoRR abs/2205.05249 (2022) - [i6]Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR abs/2208.11669 (2022) - 2021
- [c6]Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul M. Thompson
Scaling Neuroscience Research Using Federated Learning. ISBI 2021: 1191-1195 - [c5]Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg:
Membership Inference Attacks on Deep Regression Models for Neuroimaging. MIDL 2021: 228-251 - [i5]Dimitris Stripelis, José Luis Ambite:
Semi-Synchronous Federated Learning. CoRR abs/2102.02849 (2021) - [i4]Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul Thompson:
Scaling Neuroscience Research using Federated Learning. CoRR abs/2102.08440 (2021) - [i3]Umang Gupta, Dimitris Stripelis, Pradeep K. Lam, Paul M. Thompson, José Luis Ambite, Greg Ver Steeg:
Membership Inference Attacks on Deep Regression Models for Neuroimaging. CoRR abs/2105.02866 (2021) - [i2]Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil J. Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite:
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. CoRR abs/2108.03437 (2021) - 2020
- [i1]Dimitris Stripelis, José Luis Ambite:
Accelerating Federated Learning in Heterogeneous Data and Computational Environments. CoRR abs/2008.11281 (2020)
2010 – 2019
- 2019
- [c4]George Constantinou, Chrysovalantis Anastasiou, Dimitris Stripelis, Cyrus Shahabi:
MR-Cubes: On-the-Fly Computation of Location Popularity from Check-in Data Streams. MDM 2019: 27-36 - 2018
- [c3]Dimitris Stripelis, Chrysovalantis Anastasiou, José Luis Ambite:
Extending Apache Spark with a Mediation Layer. SBD@SIGMOD 2018: 2:1-2:6 - 2017
- [c2]Yijun Lin
Mining Public Datasets for Modeling Intra-City PM2.5 Concentrations at a Fine Spatial Resolution. SIGSPATIAL/GIS 2017: 25:1-25:10 - [c1]Dimitris Stripelis, José Luis Ambite
A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma. ICDE 2017: 1407-1408
Coauthor Index
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