99 citations · 260 across the 15 of their papers we have counts for
3 papers · 1 filter
Machine Unlearning of Federated Clusters
Chao Pan, Jin Sima, Saurav Prakash +2
Federated clustering (FC) is an unsupervised learning problem that arises in a number of practical applications, including personalized recommender and healthcare systems. With the…
Federated Learning of Large Models at the Edge via Principal Sub-Model Training
Yue Niu, Saurav Prakash, Souvik Kundu +2
Federated Learning (FL) is emerging as a popular, promising decentralized learning framework that enables collaborative training among clients, with no need to share private data b…
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…