5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.DC2020
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz +4
Federated learning enables training a global model from data located at the client nodes, without data sharing and moving client data to a centralized server. Performance of federa…
cs.LG2020
Coded Federated Learning
Sagar Dhakal, Saurav Prakash, Yair Yona +2
Federated learning is a method of training a global model from decentralized data distributed across client devices. Here, model parameters are computed locally by each client devi…
cs.CV2019★ 5 cited
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
Souvik Kundu, Saurav Prakash, Haleh Akrami +2
The high demand for computational and storage resources severely impede the deployment of deep convolutional neural networks (CNNs) in limited-resource devices. Recent CNN architec…