<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>T. Chen | NIULAB</title><link>https://souig.github.io/authors/t.-chen/</link><atom:link href="https://souig.github.io/authors/t.-chen/index.xml" rel="self" type="application/rss+xml"/><description>T. Chen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en</language><lastBuildDate>Sun, 01 Jun 2025 00:00:00 +0000</lastBuildDate><image><url>https://souig.github.io/media/icon_hu_7d2a9e6dbe042ff1.png</url><title>T. Chen</title><link>https://souig.github.io/authors/t.-chen/</link></image><item><title>Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning</title><link>https://souig.github.io/publication/dynamic-scheduling-007/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/dynamic-scheduling-007/</guid><description/></item><item><title>FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning</title><link>https://souig.github.io/publication/fedcgd-collective-001/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/fedcgd-collective-001/</guid><description/></item><item><title>FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning</title><link>https://souig.github.io/publication/fedteddi-scheduling-295/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/fedteddi-scheduling-295/</guid><description/></item><item><title>Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks</title><link>https://souig.github.io/publication/mobility-accelerates-016/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/mobility-accelerates-016/</guid><description/></item><item><title>On the Impact of Mobility in Asynchronous Federated Learning over Device-to-Device Networks</title><link>https://souig.github.io/publication/impact-mobility-d2d-275/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/impact-mobility-d2d-275/</guid><description/></item><item><title>Data-heterogeneous hierarchical federated learning with mobility</title><link>https://souig.github.io/publication/data-heterogeneous-161/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/data-heterogeneous-161/</guid><description/></item><item><title>Hierarchical Federated Learning: Architecture, Challenges, and Its Implementation in Vehicular Networks</title><link>https://souig.github.io/publication/hierarchical-federated-031/</link><pubDate>Wed, 01 Mar 2023 00:00:00 +0000</pubDate><guid>https://souig.github.io/publication/hierarchical-federated-031/</guid><description/></item></channel></rss>