research
∙
11/08/2021
Papaya: Practical, Private, and Scalable Federated Learning
Cross-device Federated Learning (FL) is a distributed learning paradigm ...
share
research
∙
09/25/2021
Opacus: User-Friendly Differential Privacy Library in PyTorch
We introduce Opacus, a free, open-source PyTorch library for training de...
research
∙
06/11/2021
Federated Learning with Buffered Asynchronous Aggregation
Federated Learning (FL) trains a shared model across distributed devices...
research
∙
02/18/2020
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks
When a neural network is partitioned and distributed across physical nod...
research
∙
09/03/2019
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
Partitioning and distributing deep neural networks (DNNs) over physical ...
research
∙
08/15/2018
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
With the Internet of Things (IoT) becoming part of our daily life and ou...
research
∙
04/19/2018
On Reducing IoT Service Delay via Fog Offloading
With the Internet of Things (IoT) becoming a major component of our dail...
research
∙
03/12/2018
A Privacy Scheme for Monitoring Devices in the Internet of Things
Sufficiently strong security and privacy mechanisms are prerequisite to ...
research
∙
02/02/2018
QoS-aware Dynamic Fog Service Provisioning
Recent advances in the areas of Internet of Things (IoT), cloud computin...
research
∙
11/17/2017
