53 citations · 64 across the 6 of their papers we have counts for
6 papers
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh, Behnaz Arzani +3
Large-scale deployments of low Earth orbit (LEO) satellites collect massive amount of Earth imageries and sensor data, which can empower machine learning (ML) to address global cha…
Home, SafeHome: Smart Home Reliability with Visibility and Atomicity
Shegufta Bakht Ahsan, Rui Yang, Shadi A. Noghabi +1
Smart environments (homes, factories, hospitals, buildings) contain an increasing number of IoT devices, making them complex to manage. Today, in smart homes where users or trigger…
Bené: On Demand Cost-Effective Scaling at the Edge
Faria Kalim, Shadi A. Noghabi
Edge computing has become increasingly popular across many domains and enterprises. However, given the locality constraint of edges (i.e., only close-by edges are useful), multiple…
Unified Management and Optimization of Edge-Cloud IoT Applications
Shadi A. Noghabi, Jack Kolb, Peter Bodik +1
Internet of Things (IoT) applications have seen a phenomenal growth with estimates of growing to a 25 Billion dollar industry by 2020. With the scale of IoT applications growing an…
To Edge or Not to Edge?
Faria Kalim, Shadi A. Noghabi, Shiv Verma
Edge computing caters to a wide range of use cases from latency sensitive to bandwidth constrained applications. However, the exact specifications of the edge that give the most be…
Performance Modeling of Distributed Deep Neural Networks
Sayed Hadi Hashemi, Shadi A. Noghabi, William Gropp +1
During the past decade, machine learning has become extremely popular and can be found in many aspects of our every day life. Nowayadays with explosion of data while rapid growth o…