activity
20202024
most citedCocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud

2 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AR2024

Salient Store: Enabling Smart Storage for Continuous Learning Edge Servers

Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson +2

As continuous learning based video analytics continue to evolve, the role of efficient edge servers in efficiently managing vast and dynamic datasets is becoming increasingly cruci…

cs.AR2024★ 1 cited

Synergistic and Efficient Edge-Host Communication for Energy Harvesting Wireless Sensor Networks

Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandmeir +2

There is an increasing demand for intelligent processing on ultra-low-power internet of things (IoT) device. Recent works have shown substantial efficiency boosts by executing infe…

cs.LG2024

Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers

Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson +2

The deployment of Deep Neural Networks in energy-constrained environments, such as Energy Harvesting Wireless Sensor Networks, presents unique challenges, primarily due to the inte…

eess.SP2022★ 2 cited

Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition

Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir +1

There is an increasing demand for intelligent processing on emerging ultra-low-power internet of things (IoT) devices, and recent works have shown substantial efficiency boosts by…

cs.DC2021★ 2 cited

Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud

Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran +2

With a growing demand for adopting ML models for a varietyof application services, it is vital that the frameworks servingthese models are capable of delivering highly accurate pre…

cs.DC2020

Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud

Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra +2

We are witnessing an increasing trend towardsusing Machine Learning (ML) based prediction systems, span-ning across different application domains, including productrecommendation s…