research
∙
07/16/2023
Accelerating Distributed ML Training via Selective Synchronization
In distributed training, deep neural networks (DNNs) are launched over m...
share
research
∙
05/20/2023
GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training
Distributed data-parallel (DDP) training improves overall application th...
research
∙
04/14/2023
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
Today's graphics processing unit (GPU) applications produce vast volumes...
research
∙
02/16/2023
QTrojan: A Circuit Backdoor Against Quantum Neural Networks
We propose a circuit-level backdoor attack, QTrojan, against Quantum Neu...
research
∙
02/14/2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Autonomous mobility is emerging as a new mode of urban transportation fo...
research
∙
01/21/2023
ScaDLES: Scalable Deep Learning over Streaming data at the Edge
Distributed deep learning (DDL) training systems are designed for cloud ...
research
∙
05/04/2022
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks
We propose a unified framework for coordinating Unmanned Aerial Vehicle ...
research
∙
11/08/2021
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage
We present a novel approach to maximize the communication-aware coverage...
research
∙
05/22/2021
Cybercosm: New Foundations for a Converged Science Data Ecosystem
Scientific communities naturally tend to organize around data ecosystems...
research
∙
11/30/2020