← All case studies
Edge AI / Privacy · 2022–2023
Federated Learning with Object Detection
University of Essex · Dissertation
01
Problem
Deploying vision models on IoT fleets raises privacy and bandwidth costs when raw images leave the device.
02
Challenge
Combine federated learning with computer vision so edge devices can improve models without centralizing sensitive imagery.
03
Solution
Researched and validated a distributed AI approach for IoT—federated training patterns paired with object detection for privacy-preserving edge intelligence.
04
Impact
Demonstrated a practical pattern for privacy-preserving vision on constrained devices; foundation for later agritech and industrial edge work.