Waqwoya Abebe

According to our database, Waqwoya Abebe authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization.

Waqwoya Abebe, Sadegh Jafari, Sixing Yu, Akash Dutta, Jan Strube, Nathan R. Tallent, Luanzheng Guo, J. Pablo Muñoz, Ali Jannesari

CoRR, January, 2025

Mitigating effects of data heterogeneity in decentralized learning and addressing challenges of adapting foundation models.

Waqwoya Abebe

PhD thesis, 2025

2024

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation.

Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari

CoRR, 2024

The Landscape and Challenges of HPC Research and LLMs.

Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari

CoRR, 2024

Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features.

Waqwoya Abebe, Pablo Munoz, Ali Jannesari

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

LEFL: Low Entropy Client Sampling in Federated Learning.

Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari

CoRR, 2023

Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering.

Waqwoya Abebe, Ali Jannesari

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing.

Waqwoya Abebe, Ali Jannesari

CoRR, 2022

Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search.

Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari

CoRR, 2022

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning.

Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning.

Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari

CoRR, 2021