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ORCIDWaqwoya Abebe
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2020 – today
- 2024
[c3]Waqwoya Abebe, Pablo Munoz, Ali Jannesari:
Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. CLOUD 2024: 20-29- [i6]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:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024) - [i5]Waqwoya Abebe, Jan Strube
, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari:
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR abs/2404.06638 (2024) - 2023
- [c2]Waqwoya Abebe, Ali Jannesari:
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. CCGrid 2023: 355-366 - [i4]Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari:
LEFL: Low Entropy Client Sampling in Federated Learning. CoRR abs/2312.17430 (2023) - 2022
- [c1]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. SC 2022: 36:1-36:14 - [i3]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, J. Pablo Muñoz, Ali Jannesari:
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR abs/2211.05716 (2022) - [i2]Waqwoya Abebe, Ali Jannesari:
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. CoRR abs/2212.08743 (2022) - 2021
- [i1]Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari:
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR abs/2111.14345 (2021)
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