ML-EXray: Visibility into ML Deployment on the Edge. | 0 | 0.34 | 2022 |
Characterizing and Taming Model Instability Across Edge Devices. | 0 | 0.34 | 2021 |
Data Sharing and Compression for Cooperative Networked Control. | 0 | 0.34 | 2021 |
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags. | 0 | 0.34 | 2021 |
Co-Design Of Communication And Machine Inference For Cloud Robotics | 0 | 0.34 | 2021 |
Starfish: resilient image compression for AIoT cameras | 0 | 0.34 | 2020 |
Sampling Training Data for Continual Learning Between Robots and the Cloud. | 0 | 0.34 | 2020 |
Demo Abstract: RF Soil Moisture Sensing via Radar Backscatter Tags | 0 | 0.34 | 2020 |
Multi-agent Reinforcement Learning for Networked System Control | 0 | 0.34 | 2020 |
Detecting if LTE is the Bottleneck with BurstTracker | 6 | 0.44 | 2019 |
Bandana - Using Non-Volatile Memory for Storing Deep Learning Models. | 0 | 0.34 | 2019 |
Wireless computer vision using commodity radios | 1 | 0.35 | 2019 |
XORs in the past and future | 0 | 0.34 | 2019 |
Light-Field for RF. | 0 | 0.34 | 2019 |
Dejavu: Enhancing Videoconferencing with Prior Knowledge | 7 | 0.48 | 2019 |
Democratizing the Network Edge | 5 | 0.46 | 2019 |
Flashield: A Hybrid Key-Value Cache That Controls Flash Write Amplification | 0 | 0.34 | 2019 |
Towards Self-Driving Radios: Physical-Layer Control using Deep Reinforcement Learning | 3 | 0.55 | 2019 |
Reducing DRAM footprint with NVM in facebook. | 13 | 0.86 | 2018 |
Cellular Network Traffic Scheduling With Deep Reinforcement Learning. | 4 | 0.46 | 2018 |
Trevor: Automatic configuration and scaling of stream processing pipelines. | 0 | 0.34 | 2018 |
Neural Networks Meet Physical Networks: Distributed Inference Between Edge Devices and the Cloud. | 6 | 0.44 | 2018 |
Position Tracking for Virtual Reality Using Commodity WiFi | 0 | 0.34 | 2017 |
Poster: Broadcast LTE Data Reveals Application Type. | 0 | 0.34 | 2017 |
Flashield: a Key-value Cache that Minimizes Writes to Flash. | 1 | 0.35 | 2017 |
Demo: Position Tracking for Virtual Reality Using Commodity WiFi. | 5 | 0.40 | 2017 |
AppSwitch: Application-layer Load Balancing within a Software Switch. | 1 | 0.37 | 2017 |
FreeRider: Backscatter Communication Using Commodity Radios. | 22 | 0.77 | 2017 |
Localizing Low-power Backscatter Tags Using Commodity WiFi. | 10 | 0.61 | 2017 |
Scaling Mobile Network Capacity Aggressively with QuickC. | 0 | 0.34 | 2017 |
Neutral Net Neutrality. | 1 | 0.36 | 2016 |
Parallel Graph Processing: Prejudice and State of the Art. | 2 | 0.38 | 2016 |
NUMFabric: Fast and Flexible Bandwidth Allocation in Datacenters. | 19 | 0.77 | 2016 |
Enabling Backscatter Communication among Commodity WiFi Radios. | 3 | 0.42 | 2016 |
Cliffhanger: Scaling Performance Cliffs In Web Memory Caches | 0 | 0.34 | 2016 |
Programmable Packet Scheduling at Line Rate. | 35 | 1.24 | 2016 |
Parallel Graph Processing on Modern Multi-core Servers: New Findings and Remaining Challenges | 0 | 0.34 | 2016 |
HitchHike: Practical Backscatter Using Commodity WiFi. | 55 | 1.63 | 2016 |
Programmable Packet Scheduling. | 2 | 0.39 | 2016 |
QuickC: practical sub-millisecond transport for small cells. | 2 | 0.64 | 2016 |
Atomix: A Framework for Deploying Signal Processing Applications on Wireless Infrastructure. | 12 | 0.65 | 2015 |
SpotFi: Decimeter Level Localization Using WiFi | 146 | 4.17 | 2015 |
High Speed Networks Need Proactive Congestion Control | 20 | 0.79 | 2015 |
Tiered replication: a cost-effective alternative to full cluster geo-replication | 11 | 0.51 | 2015 |
Towards Programmable Packet Scheduling | 11 | 0.56 | 2015 |
BackFi: High Throughput WiFi Backscatter | 64 | 2.40 | 2015 |
Dynacache: dynamic cloud caching | 18 | 0.74 | 2015 |
WiDeo: Fine-grained Device-free Motion Tracing using RF Backscatter. | 32 | 1.03 | 2015 |
Full duplex MIMO radios | 19 | 0.95 | 2014 |
SDN for Dense WiFi Networks. | 2 | 0.39 | 2014 |