UGAL-Q: A Multi-Agent Reinforcement Learning-Based Routing for Dragonfly Networks (Oct 17)
Published: | 7:50 am | Posted in: Events | Leave a comment
Speaker: Xin Yuan Date: Oct 17, 2:15 – 3:05 pm Abstract: Multi-Agent Reinforcement Learning (MARL)-based routing has emerged as a promising approach for high-performance interconnect networks such as Dragonfly, offering a viable alternative to the widely used Universal Globally Adaptive Load-balanced (UGAL) routing…
Challenges in Bringing AI to Next Generation Edge Networks: A Physical Layer Perspective (Oct 10th)
Published: | 12:33 pm | Posted in: Events | Leave a comment
Speaker: Xin Liu Date: Oct 10, 2:15 – 3:05 pm Abstract: The next generation of edge networks encompassing everything from IoT devices and smartphones to autonomous vehicles is poised to revolutionize industries by deploying AI in dynamic, real-world environments…
The Unwritten Curriculum: Lessons from a 25-Year Journey in Tech, Research, and AI (Oct 10th)
Published: | 10:27 am | Posted in: Events | Leave a comment
Speaker: Dr. Sanjay Agravat Date: Oct 10, 1:00pm – 2:00 pm Bio: Originally from Tallahassee, Florida, Dr. Sanjay Agravat is a Staff Software Engineer at Google with a 25-year career spanning academic research, teaching, and software engineering, residing in Atlanta, Georgia…
Model Extraction Attack and Defense for Large Language Models (Oct 7th)
Published: | 12:41 pm | Posted in: Events | Leave a comment
Speaker: Lican (Kelsey) Li Date: Oct 7, 11:45am – 12:45 pm Abstract: Model extraction attacks pose significant security threats to deployed language models, potentially compromising intellectual property and user privacy…
A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
Published: | 11:54 am | Posted in: Events | Leave a comment
Speaker: Zebin Wang Date: Sept 30, 11:45 am – 12:45 pm Abstract: Classical probabilistic graphical models face fundamental challenges in modern data environments, which are characterized by high dimensionality, source heterogeneity, and stringent data-sharing constraints.
Societally-Aware Autonomy: Games, Control, and Infrastructure for the Next Generation of Mobility Systems
Published: | 11:03 am | Posted in: Events | Leave a comment
Speaker: Ruolin Li Date: Sept 26, 2:15 – 3:05 pm Abstract: Autonomous vehicles (AVs) offer unprecedented opportunities to reshape transportation systems by enabling fine-grained control, real-time adaptability, and proactive system-wide coordination…
Unleashing the Power of Graph-Based Machine Learning as a Service
Published: | 8:01 am | Posted in: Events | Leave a comment
Speaker: Yushun Dong
Date: Sep 5, 2:15 – 3:05 pm
Abstract: The exponential growth of graph-structured data has created an unprecedented demand for graph learning capabilities across industries, yet domain experts face formidable barriers: massive computational requirements, prohibitive model costs, and complex infrastructure management.
LoRa and Low Earth Orbit (LEO) Satellite Networks
Published: | 8:15 am | Posted in: Events | Leave a comment
Speaker: Zhenghao Zhang
Date: Aug 29, 2:15 – 3:05 pm
Abstract: LoRa has emerged as one of the main candidates for connecting low-power wireless IoT devices. Low Earth Orbit (LEO) satellite networks have also been growing very rapidly in recent years.
Towards Smarter, Healthier, and Secure Lives Through Intelligent Wearable Sensing
Published: | 3:56 pm | Posted in: Events | Leave a comment
Speaker: Yang Liu
Date: Apr 4, 11:45am-12:45pm
Abstract: In today’s technology-driven world, the ubiquity of wearable devices offers unparalleled opportunities to monitor and enhance human well-being. However, a substantial gap remains in their ability to intuitively understand and respond to individual needs.
Deploying Web Honeypots to Evaluate the Efficacy of Online Systems Against Phishing and Fraud Attacks
Published: | 10:02 am | Posted in: Events | Leave a comment
Speaker: Bhupendra Acharya
Date: Mar 27, 11:45am-12:45pm
Abstract: Phishing and fraud attacks remain the predominant class of social engineering attacks despite two decades of their existence. Most cyberattacks begin with a social engineering attack, finding the weakness in human fallibilities.