<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Shiva Raj Pokhrel and Jinho Choi and Anwar Walid | Deakin IoT &amp; Software Engineering Lab</title><link>https://deakiniotlab.au/author/shiva-raj-pokhrel-and-jinho-choi-and-anwar-walid/</link><atom:link href="https://deakiniotlab.au/author/shiva-raj-pokhrel-and-jinho-choi-and-anwar-walid/index.xml" rel="self" type="application/rss+xml"/><description>Shiva Raj Pokhrel and Jinho Choi and Anwar Walid</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://deakiniotlab.au/media/icon_hu_428d647166466d7.png</url><title>Shiva Raj Pokhrel and Jinho Choi and Anwar Walid</title><link>https://deakiniotlab.au/author/shiva-raj-pokhrel-and-jinho-choi-and-anwar-walid/</link></image><item><title>Fair and efficient distributed edge learning with hybrid multipath TCP</title><link>https://deakiniotlab.au/publication/shiva_raj_pokhrel/fair_and_efficient_distributed_edge_learning_with_/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://deakiniotlab.au/publication/shiva_raj_pokhrel/fair_and_efficient_distributed_edge_learning_with_/</guid><description/></item></channel></rss>