9 papers
From Barrier to Bridge: The Case for AI Data Center/Power Grid Co-Design
Noman Bashir, Rob Sherwood, Le Xie +1
For over a century, the electric grid has relied on a single statistical assumption: \emph{load diversity}, the principle that the uncorrelated demands of millions of small consume…
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,…
The Cloud Next Door: Investigating the Environmental and Socioeconomic Strain of Datacenters on Local Communities
Wacuka Ngata, Noman Bashir, Michelle Westerlaken +3
Datacenters have become the backbone of modern digital infrastructure, powering the rapid rise of artificial intelligence and promising economic growth and technological progress.…
EcoLearn: Optimizing the Carbon Footprint of Federated Learning
Talha Mehboob, Noman Bashir, Jesus Omana Iglesias +2
Federated Learning (FL) distributes machine learning (ML) training across edge devices to reduce data transfer overhead and protect data privacy. Since FL model training may span h…
LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms
Mahsa Sahebdel, Ali Zeynali, Noman Bashir +2
Ridesharing platforms such as Uber, Lyft, and DiDi have grown in popularity due to their on-demand availability, ease of use, and commute cost reductions, among other benefits. How…
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun +4
We introduce and study spatiotemporal online allocation with deadline constraints (), a new online problem motivated by emerging challenges in sustainability and ene…