39 citations · 66 across the 13 of their papers we have counts for
7 papers · 1 filter
TGh: A TEE/GC Hybrid Enabling Confidential FaaS Platforms
James Choncholas, Ketan Bhardwaj, Ada Gavrilovska
Trusted Execution Environments (TEEs) suffer from performance issues when executing certain management instructions, such as creating an enclave, context switching in and out of pr…
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression
Jin Heo, Gregorie Phillips, Per-Erik Brodin +1
Real-time light detection and ranging (LiDAR) perceptions, e.g., 3D object detection and simultaneous localization and mapping are computationally intensive to mobile devices of li…
Poster: Enabling Flexible Edge-assisted XR
Jin Heo, Ketan Bhardwaj, Ada Gavrilovska
Extended reality (XR) is touted as the next frontier of the digital future. XR includes all immersive technologies of augmented reality (AR), virtual reality (VR), and mixed realit…
FleXR: A System Enabling Flexibly Distributed Extended Reality
Jin Heo, Ketan Bhardwaj, Ada Gavrilovska
Extended reality (XR) applications require computationally demanding functionalities with low end-to-end latency and high throughput. To enable XR on commodity devices, a number of…
FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI
Jin Heo, Christopher Phillips, Ada Gavrilovska
Light detection and ranging (LiDAR) sensors are becoming available on modern mobile devices and provide a 3D sensing capability. This new capability is beneficial for perceptions i…
Blizzard: Adding True Persistence to Main Memory Data Structures
Pradeep Fernando, Daniel Zahka, Ada Gavrilovska +2
Persistent memory (PMEM) devices present an opportunity to retain the flexibility of main memory data structures and algorithms, but augment them with reliability and persistence.…
Flame: Simplifying Topology Extension in Federated Learning
Harshit Daga, Jaemin Shin, Dhruv Garg +3
Distributed machine learning approaches, including a broad class of federated learning (FL) techniques, present a number of benefits when deploying machine learning applications ov…