most citedTowards Environmentally Equitable AI

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG2025

CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models

Diptyaroop Maji, Kang Yang, Prashant Shenoy +2

Computational decarbonization aims to reduce carbon emissions in computing and societal systems such as data centers, transportation, and built environments. This requires accurate…

cs.LG2025

Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms

Ali Zeynali, Mahsa Sahebdel, Qingsong Liu +2

We introduce the Smoothed Online Optimization for Target Tracking (SOOTT) problem, a new framework that integrates three key objectives in online decision-making under uncertainty:…

cs.DC2025

HADIS: Hybrid Adaptive Diffusion Model Serving for Efficient Text-to-Image Generation

Qizheng Yang, Tung-I Chen, Siyu Zhao +2

Text-to-image diffusion models have achieved remarkable visual quality but incur high computational costs, making latency-aware, scalable deployment challenging. To address this, w…

cs.LG20241 cited

Towards Environmentally Equitable AI

Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman +1

The skyrocketing demand for artificial intelligence (AI) has created an enormous appetite for globally deployed power-hungry servers. As a result, the environmental footprint of AI…

cs.DC2024

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling

Sohaib Ahmad, Qizheng Yang, Haoliang Wang +2

Text-to-image generation using diffusion models has gained increasing popularity due to their ability to produce high-quality, realistic images based on text prompts. However, effi…

eess.SY2024

Near-Optimal Emission-Aware Online Ride Assignment Algorithm for Peak Demand Hours

Ali Zeynali, Mahsa Sahebdel, Noman Bashir +2

Ridesharing has experienced significant global growth over the past decade and is becoming an integral component of modern transportation systems. However, despite their benefits,…