no code implementations • 9 Apr 2024 • Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven Spurgeon, Christina Doty, Ali Jannesari
To enable rapid adaptation of the best segmentation technology, we propose the concept of semantic boosting: given a zero-shot foundation model, guide its segmentation and adjust results to match domain expectations.
no code implementations • 3 Feb 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 Munoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
Recently, language models (LMs), especially large language models (LLMs), have revolutionized the field of deep learning.
1 code implementation • 29 Dec 2023 • Waqwoya Abebe, Pablo Munoz, Ali Jannesari
This enables the server to perform stratified client sampling across clusters in every round.
no code implementations • 16 Dec 2022 • Waqwoya Abebe, Ali Jannesari
In this paper, we demonstrate the advantages of constructing a proxy-based locally heterogeneous DL topology to enhance convergence and maintain data privacy.
1 code implementation • 29 Nov 2021 • Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari
Federated learning~(FL) facilitates the training and deploying AI models on edge devices.