<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pysyft | Tuhin Sharma</title><link>https://tuhinsharma.netlify.app/tags/pysyft/</link><atom:link href="https://tuhinsharma.netlify.app/tags/pysyft/index.xml" rel="self" type="application/rss+xml"/><description>Pysyft</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 19 May 2024 14:15:00 +0000</lastBuildDate><image><url>https://tuhinsharma.netlify.app/media/icon_hu55b84836e614877e119cbfa37f6d5a66_1386708_512x512_fill_lanczos_center_3.png</url><title>Pysyft</title><link>https://tuhinsharma.netlify.app/tags/pysyft/</link></image><item><title>Revolutionizing Smart Buildings with Federated Learning</title><link>https://tuhinsharma.netlify.app/blogs/federated-learning/</link><pubDate>Sun, 19 May 2024 14:15:00 +0000</pubDate><guid>https://tuhinsharma.netlify.app/blogs/federated-learning/</guid><description>&lt;h2>Description&lt;/h2>
&lt;p>In today’s world, IoT (Internet of Things) devices are integral to our daily lives. From wearables and self-driving cars to smart buildings and cities, these devices shape and control our environments. Among these innovations, smart buildings stand out by not only ensuring the comfort and safety of occupants but also promoting energy and financial efficiency. The integration of AI (Artificial Intelligence) in smart buildings has made them even smarter by leveraging data from various sensors to optimize building functionalities.&lt;/p>
&lt;p>&lt;a href="https://medium.com/@tuhinsharma121/raptor-a-smarter-way-to-retrieve-and-use-information-in-ai-fd3cb68a6f2f">&lt;p>&lt;strong>Read more..&lt;/strong>&lt;/p>&lt;/a>&lt;/p></description></item></channel></rss>