Question 1

What is A Secure Federated Learning Framework For Residential Short Term Load Forecasting about?

Accepted Answer

This article proposes a secure federated learning framework for residential short term load forecasting that leverages gradient quantization and the SignSGD algorithm to improve robustness against Byzantine attacks. It develops a privacy-preserving federated learning approach for short term load forecasting using smart meter data while ensuring privacy of individual data and security of models from faults or attacks.

Question 2

Can I read A Secure Federated Learning Framework For Residential Short Term Load Forecasting on EtoBox?

Accepted Answer

A Secure Federated Learning Framework For Residential Short Term Load Forecasting by jamesraiaan is a document available to read on EtoBox.

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