most citedLottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge

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

collaborators

2 papers

cs.CV2025

Sphinx: Efficiently Serving Novel View Synthesis using Regression-Guided Selective Refinement

Yuchen Xia, Souvik Kundu, Mosharaf Chowdhury +1

Novel View Synthesis (NVS) generates novel views of a scene from a sparse set of input images and is a key component in applications such as immersive rendering and 3D content gene…

cs.LG2022★ 2 cited

Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge

Sara Babakniya, Souvik Kundu, Saurav Prakash +2

Edge devices can benefit remarkably from federated learning due to their distributed nature; however, their limited resource and computing power poses limitations in deployment. A…