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@@ -120,7 +120,8 @@ <h3>Mission</h3>
             <h3>Value</h3>
             <p>PFLlib is ideal for companies aiming to explore, select, and evaluate personalized federated learning methods. It enables the evaluation of algorithms and their adaptability to diverse scenarios, offering valuable insights for informed algorithm selection in real-world applications. With its robust features, PFLlib is well-suited for a wide range of industries, from healthcare to finance.</p>
             <h2>About Me</h2>
-            I am Jianqing Zhang, a PhD student at Shanghai Jiao Tong University and an active contributor to the federated learning community. My research centers on pioneering personalized and scalable solutions for cloud-edge collaboration and federated learning, driving innovation in this transformative field. Explore my <a href="https://github.com/TsingZ0">homepage</a> for more details about my research and contributions. Together, let's shape the future of federated learning and make it <strong>even greater!</strong>
+            <p>I am Jianqing Zhang, a PhD student at Shanghai Jiao Tong University and an active contributor to the federated learning community. My research centers on pioneering personalized and scalable solutions for cloud-edge collaboration and federated learning, driving innovation in this transformative field. Explore my <a href="https://github.com/TsingZ0">homepage</a> for more details about my research and contributions.</p>
+            <p>Together, let's shape the future of federated learning and make it <strong>even greater!</strong></p>
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