# Research Plan

## IoT and Machine Learning

* [kaiwaehner/hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference: Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required](https://github.com/kaiwaehner/hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference)
* [Machine Learning Quorum Decider (MLQD) for Large Scale IoT Deployments - ScienceDirect](https://www.sciencedirect.com/science/article/pii/S1877050919305988)
* [Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges - IEEE Journals & Magazine - IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/8951180)

## Hardware

* [symisc/sod: An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)](https://github.com/symisc/sod)

## Managed ML

[noahgift/managed\_ml\_systems\_and\_iot: Managed Machine Learning Systems and Internet of Things Live Lesson](https://github.com/noahgift/managed_ml_systems_and_iot)
