Dimitris Stripelis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Regression Model

Locally Weighted

Named Entity Recognition

Top Venues

AAAI Spring Symposia

Publications

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)
Shalaka S. Mahadik, Pranav M. Pawar, Raja Muthalagu, Neeli Rashmi Prasad, Sin-Kuen Hawkins, Dimitris Stripelis, Sreedhar Rao, Peter Ejim, Bruce Hecht
Digital Privacy in Healthcare: State-of-the-Art and Future Vision. IEEE Access 12 (2024)
Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He
TorchOpera: A Compound AI System for LLM Safety. CoRR (2024)
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)
Dimitris Stripelis, José Luis Ambite
Federated Learning over Harmonized Data Silos. CoRR (2023)
Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, José Luis Ambite
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. CoRR (2023)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. CoRR (2022)
Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil Dhinagar, Tanmay Ghai, Rafael Sanchez, Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, José Luis Ambite
Secure Federated Learning for Neuroimaging. CoRR (2022)
Joel Mathew, Dimitris Stripelis, José Luis Ambite
Federated Named Entity Recognition. CoRR (2022)
Dimitris Stripelis, Marcin Abram, José Luis Ambite
Performance Weighting for Robust Federated Learning Against Corrupted Sources. CoRR (2022)
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. DeCaF/FAIR@MICCAI (2022)
Dimitris Stripelis, Umang Gupta, Greg Ver Steeg, José Luis Ambite
Federated Progressive Sparsification (Purge, Merge, Tune)+. CoRR (2022)
Dimitris Stripelis, Paul M. Thompson, José Luis Ambite
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil 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 (2021)
Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul Thompson
Scaling Neuroscience Research Using Federated Learning. ISBI (2021)
Dimitris Stripelis, José Luis Ambite
Semi-Synchronous Federated Learning. CoRR (2021)
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 (2021)
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)
Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul Thompson
Scaling Neuroscience Research using Federated Learning. CoRR (2021)
Dimitris Stripelis, José Luis Ambite
Accelerating Federated Learning in Heterogeneous Data and Computational Environments. CoRR (2020)
George Constantinou, Chrysovalantis Anastasiou, Dimitris Stripelis, Cyrus Shahabi
MR-Cubes: On-the-Fly Computation of Location Popularity from Check-in Data Streams. MDM (2019)
Dimitris Stripelis, Chrysovalantis Anastasiou, José Luis Ambite
Extending Apache Spark with a Mediation Layer. SBD@SIGMOD (2018)
Dimitris Stripelis, José Luis Ambite, Yao-Yi Chiang, Sandrah P. Eckel, Rima Habre
A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma. ICDE (2017)