IEEE RSDM-GeoSci Workshop Keynote
Dr. Zhao gave a keynote talk at the IEEE RSDM-GeoSci Workshop on DataStorm (from Cloud to Edge)—A Data-driven System for Disaster Management
Category: News
ICASSP Presentations
Dr. Zhao presented two papers at the flagship signal processing conference ICASSP and its satellite workshop on “A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning” (YouTube video) and “Confidence-based Federated Distillation for Vision-based Lane-centering”.
IPDPS Paper
Dr. Zhao presented a paper on “GPU-enabled Function-as-a-Service for Machine Learning Inference” at a top distributed computing conference, IPDPS 2023.
AISTATS Paper
Congrats to VISA PhD student Kaiqi Zhao on her paper “Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions” (YouTube Video) published and presented at AISTATS, a top AI conference.
Tara won the 2nd place in graduate student poster competition
VISA master student Tara Paranjpe won the 2nd place in the ASU Institute for Social Science Research Graduate Student Poster Competition for her interdisciplinary project on real-time stress management.
Congrats to Tara and Sang-Hun on passing thesis defenses!
Tara Paranjpe’s Honors Thesis: “Investigating Stress Among Police Training Cadets Using Machine Learning” Sang-Hun Sim’s Master Thesis: “Exploration of Edge Machine Learning-Based Stress Prediction Using Wearable Devices”
NSF Project BLUE: Software-Defined Cyberinfrastructure to Enable Data-driven Smart Campus Applications
VISA lab is awarded a new project to develop advanced software-defined cyberinfrastructure and enable exciting data-driven smart campus applications. [Read More]
Congrats to Dr. Biookaghazadeh
Saman Biookaghazadeh successfully defended his PhD thesis on FPGA-Based Edge-Computing Acceleration. Congtulations! Dr. Biookaghazadeh!
Fighting COVID-19 with federated learning
The spread of the Corona Virus Disease 2019 (COVID-19) has reached pandemic levels across the globe. There is an urgent need to develop CT apps that not only monitor but also intervene to limit COVID-19 spread while respecting user security and privacy. Sponsored by National Science Foundation, this project addresses this challenge via Federated Analytics[…]
ATC papers on smart devices and distributed learning
Congratulations to Ryunu for her presentation of USENIX ATC ’19 papers on “SmartDedup: Optimizing Deduplication for Resource-constrained Devices” and Yitao for his presentation of HotEdge ’19 workshop on “Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources”.