federated learning implementation
Budget: ₹600 – ₹1,500 INR
Hello! I am looking for a freelancer to take on a project involving the implementation of federated learning using TensorFlow. I have a dataset for the training and I will provide it, so there won't be any need for assistance in obtaining it. All I want is to get the final result at the end of the project, without requiring daily updates or full transparency. If you can do this project, please do not hesitate to contact me.
the idea is to create a federated learning model to recognise a home appliance using its foot print the discription of dataset is The collected readings are stored in comma-separated value files; one file is created for each metered wall outlet. Files are grouped into directories according to the type of the appliance that has been monitored. Each entry in the file contains the date and time of its collection and the power consumption readings averaged over time durations of one and eight seconds, respectively. The timestamp field follows the "day/month/year hour:minute:second" format, in which the time is specified using a 24-hour notation. i want to implemt this paper but initial fedar only no mislabeled data part one
the idea is to create a federated learning model to recognise a home appliance using its foot print the discription of dataset is The collected readings are stored in comma-separated value files; one file is created for each metered wall outlet. Files are grouped into directories according to the type of the appliance that has been monitored. Each entry in the file contains the date and time of its collection and the power consumption readings averaged over time durations of one and eight seconds, respectively. The timestamp field follows the "day/month/year hour:minute:second" format, in which the time is specified using a 24-hour notation. i want to implemt this paper but initial fedar only no mislabeled data part one