11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.DC2022★ 11 cited
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
Mohamed Elzohairy, Mohak Chadha, Anshul Jindal +4
Federated Learning (FL) is a machine learning paradigm that enables the training of a shared global model across distributed clients while keeping the training data local. While mo…
cs.CR2021
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Andreas Grafberger, Mohak Chadha, Anshul Jindal +2
The traditional cloud-centric approach for Deep Learning (DL) requires training data to be collected and processed at a central server which is often challenging in privacy-sensiti…