25 citations · 53 across the 23 of their papers we have counts for
3 papers · 1 filter
FedTrans: Efficient Federated Learning via Multi-Model Transformation
Yuxuan Zhu, Jiachen Liu, Mosharaf Chowdhury +1
Federated learning (FL) aims to train machine learning (ML) models across potentially millions of edge client devices. Yet, training and customizing models for FL clients is notori…
Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services
Jiachen Liu, Jae-Won Chung, Zhiyu Wu +3
Large language models (LLMs) are now at the core of conversational AI services such as real-time translation and chatbots, which provide live user interaction by incrementally stre…
Toward Cross-Layer Energy Optimizations in AI Systems
Jae-Won Chung, Nishil Talati, Mosharaf Chowdhury
The "AI for Science, Energy, and Security" report from DOE outlines a significant focus on developing and optimizing artificial intelligence workflows for a foundational impact on…