Waqwoya Abebe

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Transfer Learning

Manifold Alignment

Graph Transduction

Learning Process

Top Venues

Publications

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 (2024)
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 (2024)
Waqwoya Abebe, Ali Jannesari
Optimizing Decentralized Learning with Local Heterogeneity using Topology Morphing and Clustering. CCGrid (2023)
Waqwoya Abebe, Juan Pablo Muñoz, Ali Jannesari
LEFL: Low Entropy Client Sampling in Federated Learning. CoRR (2023)
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)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Justin Stanley, Pablo Munoz, Ali Jannesari
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search. CoRR (2022)
Waqwoya Abebe, Ali Jannesari
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. CoRR (2022)
Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Ali Anwar, Ali Jannesari
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning. CoRR (2021)