8 citations · 10 across the 3 of their papers we have counts for
3 papers
Erasure Coded Neural Network Inference via Fisher Averaging
Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi +1
Erasure-coded computing has been successfully used in cloud systems to reduce tail latency caused by factors such as straggling servers and heterogeneous traffic variations. A majo…
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
Standard federated learning (FL) algorithms typically require multiple rounds of communication between the server and the clients, which has several drawbacks, including requiring…
FedExP: Speeding Up Federated Averaging via Extrapolation
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
Federated Averaging (FedAvg) remains the most popular algorithm for Federated Learning (FL) optimization due to its simple implementation, stateless nature, and privacy guarantees…