2 citations · 2 across the 4 of their papers we have counts for
4 papers
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning
Ishmeet Kaur, Adwaita Janardhan Jadhav
Advancement in the field of machine learning is unavoidable, but something of major concern is preserving the privacy of the users whose data is being used for training these machi…
On the fly Deep Neural Network Optimization Control for Low-Power Computer Vision
Ishmeet Kaur, Adwaita Janardhan Jadhav
Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Network…
Federated Learning in IoT: a Survey from a Resource-Constrained Perspective
Ishmeet Kaur andAdwaita Janardhan Jadhav
The IoT ecosystem is able to leverage vast amounts of data for intelligent decision-making. Federated Learning (FL), a decentralized machine learning technique, is widely used to c…
Survey on Computer Vision Techniques for Internet-of-Things Devices
Ishmeet Kaur, Adwaita Janardhan Jadhav
Deep neural networks (DNNs) are state-of-the-art techniques for solving most computer vision problems. DNNs require billions of parameters and operations to achieve state-of-the-ar…