1 citations · 1 across the 3 of their papers we have counts for
6 papers
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components
Soumyabrata Pal, Prateek Varshney, Prateek Jain +5
Personalization of machine learning (ML) predictions for individual users/domains/enterprises is critical for practical recommendation systems. Standard personalization approaches…
(Nearly) Optimal Private Linear Regression via Adaptive Clipping
Prateek Varshney, Abhradeep Thakurta, Prateek Jain
We study the problem of differentially private linear regression where each data point is sampled from a fixed sub-Gaussian style distribution. We propose and analyze a one-pass mi…
Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources
Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra +2
Internet of Things (IoT) is leading to the pervasive availability of streaming data about the physical world, coupled with edge computing infrastructure deployed as part of smart c…
Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources
Prateeksha Varshney, Yogesh Simmhan
Cloud computing has grown to become a popular distributed computing service offered by commercial providers. More recently, Edge and Fog computing resources have emerged on the wid…
ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge
Pushkara Ravindra, Aakash Khochare, Siva Prakash Reddy +3
The Internet of Things (IoT) is offering unprecedented observational data that are used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of IoT…
Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions
Prateeksha Varshney, Yogesh Simmhan
Internet of Things (IoT) has accelerated the deployment of millions of sensors at the edge of the network, through Smart City infrastructure and lifestyle devices. Cloud computing…