Difference between revisions of "Resource:Paper Carnival 2022"
(22 intermediate revisions by 2 users not shown) | |||
Line 1: | Line 1: | ||
=== Visible Light Communication--Wenliang "10:00-11:00" === | |||
[Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485934 CurveLight: An Accurate and Practical Indoor Positioning System] | [Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485934 CurveLight: An Accurate and Practical Indoor Positioning System] | ||
Line 8: | Line 5: | ||
[Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485948 SpiderWeb: Enabling Through-Screen Visible Light Communication] | [Sensys 2021] [https://dl.acm.org/doi/pdf/10.1145/3485730.3485948 SpiderWeb: Enabling Through-Screen Visible Light Communication] | ||
===Kaiwen"11:00-11:30"=== | |||
[ICNP 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9155474 X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN] | |||
===Response to Mobility--Luwei "14:00-15:00" === | |||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796811 Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility] | ||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796968 User Experience Oriented Task Computation for UAV-Assisted MEC System] | ||
[ | [TMC 2022] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343712 ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks] | ||
===Zhuoliu"15:00-15:30"=== | |||
[MobiCom21] [https://www.microsoft.com/en-us/research/uploads/prod/2021/09/Visage_Mobicom_2021.pdf Visage: enabling timely analytics for drone imagery] | |||
===Offloading, Delivery--Wenjie "15:30-16:30" === | |||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/document/9796843 An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers] | ||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/document/9796714/ Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing] | ||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/document/9796763/ AoDNN: An Auto-Offloading Approach to Optimize Deep Inference for Fostering Mobile Web] | ||
[ | [TMC 2022] [https://ieeexplore.ieee.org/document/9238459 A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data] | ||
===Xinyu"16:30-17:00"=== | |||
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796908/ IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes] | |||
===Jiajun"17:00-17:30"=== | |||
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796661/ Kalmia: A Heterogeneous QoS-aware Scheduling Framework for DNN Tasks on Edge Servers] | |||
===Video Service in Edge Networks--Cong Rong "9:00-10:00" === | |||
[SigComm 2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544218 NeuroScaler: neural video enhancement at scale] | [SigComm 2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544218 NeuroScaler: neural video enhancement at scale] | ||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/document/9796984/ FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics] | ||
[ | [Infocom 2022] [https://ieeexplore.ieee.org/document/9796657/ DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation] | ||
[MobiHoc 2021] [https://dl.acm.org/doi/pdf/10.1145/3466772.3467034 Task Offloading with Uncertain Processing Cycles] | [MobiHoc 2021] [https://dl.acm.org/doi/pdf/10.1145/3466772.3467034 Task Offloading with Uncertain Processing Cycles] | ||
===Edge, offloading, caching--Qingyong "10:00-11:00" === | |||
[Infocom 2022] [https://ieeexplore.ieee.org/document/9796969/ Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing] | [Infocom 2022] [https://ieeexplore.ieee.org/document/9796969/ Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing] | ||
Line 52: | Line 54: | ||
[TMC 2022] [https://ieeexplore.ieee.org/abstract/document/9832640 Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing] | [TMC 2022] [https://ieeexplore.ieee.org/abstract/document/9832640 Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing] | ||
===Yuanqi "11:00-11:30"=== | |||
[NSDI 2022] [https://www.microsoft.com/en-us/research/uploads/prod/2021/07/nsdi22spring-final74.pdf Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers] | |||
===Wang Kun "11:30-12:00"=== | |||
[Infocom 2022][https://ieeexplore.ieee.org/document/9796884/ Joint Resource Management and Flow Scheduling for SFC Deployment in Hybrid Edge-and-Cloud Network] | |||
===Communication-Efficient Federated Learning--Jianqi "14:00-15:00" === | |||
[ICML 2022] [https://arxiv.org/pdf/2111.00465.pdf DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning] | [ICML 2022] [https://arxiv.org/pdf/2111.00465.pdf DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning] | ||
Line 64: | Line 68: | ||
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796982/ Optimal Rate Adaption in Federated Learning with Compressed Communications] | [INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796982/ Optimal Rate Adaption in Federated Learning with Compressed Communications] | ||
===Crowdsensing--Xianyang "15:00-16:00" === | |||
[INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796960/ Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee] | [INFOCOM 2022] [https://ieeexplore.ieee.org/document/9796960/ Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee] | ||
Line 72: | Line 76: | ||
[IoTJ] [https://ieeexplore.ieee.org/document/9828398/ Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing] | [IoTJ] [https://ieeexplore.ieee.org/document/9828398/ Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing] | ||
===Jiangshu"16:00-17:00"=== | |||
[SIGCOMM 2022] [https://dl.acm.org/doi/pdf/10.1145/3544216.3544238 From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud] |
Latest revision as of 14:39, 20 September 2022
Visible Light Communication--Wenliang "10:00-11:00"
[Sensys 2021] CurveLight: An Accurate and Practical Indoor Positioning System
[Sensys 2021] SpiderWeb: Enabling Through-Screen Visible Light Communication
Kaiwen"11:00-11:30"
[ICNP 2022] X-MAC: Achieving High Scalability via Imperfect-Orthogonality Aware Scheduling in LPWAN
Response to Mobility--Luwei "14:00-15:00"
[Infocom 2022] Enabling QoE Support for Interactive Applications over Mobile Edge with High User Mobility
[Infocom 2022] User Experience Oriented Task Computation for UAV-Assisted MEC System
[TMC 2022] ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks
Zhuoliu"15:00-15:30"
[MobiCom21] Visage: enabling timely analytics for drone imagery
Offloading, Delivery--Wenjie "15:30-16:30"
[Infocom 2022] An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers
[Infocom 2022] Two Time-Scale Joint Service Caching and Task Offloading for UAV-assisted Mobile Edge Computing
[Infocom 2022] AoDNN: An Auto-Offloading Approach to Optimize Deep Inference for Fostering Mobile Web
Xinyu"16:30-17:00"
[Infocom 2022] IoTMosaic: Inferring User Activities from IoT Network Traffic in Smart Homes
Jiajun"17:00-17:30"
[Infocom 2022] Kalmia: A Heterogeneous QoS-aware Scheduling Framework for DNN Tasks on Edge Servers
Video Service in Edge Networks--Cong Rong "9:00-10:00"
[SigComm 2022] NeuroScaler: neural video enhancement at scale
[Infocom 2022] FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics
[Infocom 2022] DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation
[MobiHoc 2021] Task Offloading with Uncertain Processing Cycles
Edge, offloading, caching--Qingyong "10:00-11:00"
[Infocom 2022] Online File Caching in Latency-Sensitive Systems with Delayed Hits and Bypassing
[Infocom 2022] Distributed Cooperative Caching in Unreliable Edge Environments
[TMC 2022] Reverse Auction-based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing
Yuanqi "11:00-11:30"
[NSDI 2022] Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Wang Kun "11:30-12:00"
[Infocom 2022]Joint Resource Management and Flow Scheduling for SFC Deployment in Hybrid Edge-and-Cloud Network
Communication-Efficient Federated Learning--Jianqi "14:00-15:00"
[ICML 2022] DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
[ICML 2022] QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
[INFOCOM 2022] Optimal Rate Adaption in Federated Learning with Compressed Communications
Crowdsensing--Xianyang "15:00-16:00"
[INFOCOM 2022] Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee
[INFOCOM 2022] Worker Selection Towards Data Completion for Online Sparse Crowdsensing
[IoTJ] Nondeterministic Mobility based Incentive Mechanism for Efficient Data Collection in Crowdsensing
Jiangshu"16:00-17:00"
[SIGCOMM 2022] From Luna to Solar: The Evolutions of the Compute-to-Storage Networks in Alibaba Cloud