1 citations · 1 across the 4 of their papers we have counts for
4 papers
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
Seyed Alireza Rahimi Azghadi, Truong-Thanh-Hung Nguyen, Helene Fournier +4
The aging population is growing rapidly, and so is the danger of falls in older adults. A major cause of injury is falling, and detection in time can greatly save medical expenses…
Encoded Spatial Attribute in Multi-Tier Federated Learning
Asfia Kawnine, Francis Palma, Seyed Alireza Rahimi Azghadi +1
This research presents an Encoded Spatial Multi-Tier Federated Learning approach for a comprehensive evaluation of aggregated models for geospatial data. In the client tier, encodi…
An Adaptive Indoor Localization Approach Using WiFi RSSI Fingerprinting with SLAM-Enabled Robotic Platform and Deep Neural Networks
Seyed Alireza Rahimi Azghadi, Atah Nuh Mih, Asfia Kawnine +3
Indoor localization plays a vital role in the era of the IoT and robotics, with WiFi technology being a prominent choice due to its ubiquity. We present a method for creating WiFi…
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
Atah Nuh Mih, Alireza Rahimi, Asfia Kawnine +4
This paper proposes an optimization of an existing Deep Neural Network (DNN) that improves its hardware utilization and facilitates on-device training for resource-constrained edge…