Irene Wang

According to our database, Irene Wang authored at least 4 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout.

Irene Wang, Prashant J. Nair, Divya Mahajan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Evaluation of gem5 for performance modeling of ARM Cortex-R based embedded SoCs.

Irene Wang, Prasenjit Chakraborty, Zi Yu Xue, Yen Fu Lin

Microprocess. Microsystems, September, 2022

Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes.

Irene Wang

CoRR, 2022

2018

7T MR of intracranial pathology: Preliminary observations and comparisons to 3T and 1.5T.

Emmanuel C. Obusez, Mark J. Lowe, Se-Hong Oh, Irene Wang, Jennifer Bullen, Paul Ruggieri, Virginia B. Hill, Daniel Lockwood, Todd Emch, Doksu Moon, Gareth Loy, Jonathan Lee, Matthew Kiczek, Manoj Massand, Volodymyr Statsevych, Todd Stultz, Stephen E. Jones

NeuroImage, 2018