2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
Ali Abbasi, Fan Dong, Xin Wang +3
Federated learning (FL) provides a promising collaborative framework to build a model from distributed clients, and this work investigates the carbon emission of the FL process. Cl…
cs.CR2024★ 2 cited
On the Feasibility of CubeSats Application Sandboxing for Space Missions
Gabriele Marra, Ulysse Planta, Philipp Wüstenberg +1
This paper details our journey in designing and selecting a suitable application sandboxing mechanism for a satellite under development, with a focus on small satellites. Central t…
cs.CV2024
One Category One Prompt: Dataset Distillation using Diffusion Models
Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash +1
The extensive amounts of data required for training deep neural networks pose significant challenges on storage and transmission fronts. Dataset distillation has emerged as a promi…