5 citations · 9 across the 5 of their papers we have counts for
5 papers
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
Kun Yang, Neena Imam
Federated Learning (FL) enables collaborative machine learning across decentralized data sources without sharing raw data. It offers a promising approach to privacy-preserving AI.…
VFSIE -- Development and Testing Framework for Federated Science Instruments
Anees Al-Najjar, Nageswara S. V. Rao, Neena Imam +9
Recent developments in softwarization of networked infrastructures combined with containerization of computing workflows promise unprecedented compute anywhere and everywhere capab…
Community detection with spiking neural networks for neuromorphic hardware
Kathleen E. Hamilton, Neena Imam, Travis S. Humble
We present results related to the performance of an algorithm for community detection which incorporates event-driven computation. We define a mapping which takes a graph G to a sy…
Performance Models for Split-execution Computing Systems
Travis S. Humble, Alexander J. McCaskey, Jonathan Schrock +3
Split-execution computing leverages the capabilities of multiple computational models to solve problems, but splitting program execution across different computational models incur…
Proceedings of the 2015 International Workshop on the Lustre Ecosystem: Challenges and Opportunities
Neena Imam, Michael Brim, Sarp Oral
The Lustre parallel file system has been widely adopted by high-performance computing (HPC) centers as an effective system for managing large-scale storage resources. Lustre achiev…