Experiments on MNIST dataset and federated training using Flower framework
This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
#计算机科学#Source Code of Project Image Classification with PyTorch 🔥
Collect/process data via various data sources : website / js website / API. Run scrapping pipeline via Celery, and Travis cron task. Dump the scraped data to slack
Compare and find the best classification model for the Iris Flower Data Set.
Federated Learning with Byzantine Fault Tolerance
連合学習を用いた歩行時間予測モデルの評価
Capstone project for Master of Science in Data Analytics at CCT college. Title Federated Learning: Evaluating Popular Frameworks and Developing a Cross-Client Horizontal Server.