infocom 2021 论文列表
40th IEEE Conference on Computer Communications, INFOCOM 2021, Vancouver, BC, Canada, May 10-13, 2021.
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Privacy Budgeting for Growing Machine Learning Datasets.
Expectile Tensor Completion to Recover Skewed Network Monitoring Data.
Exploring Layered Container Structure for Cost Efficient Microservice Deployment.
Randomized Scheduling of Real-Time Traffic in Wireless Networks Over Fading Channels.
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling.
Finding Critical Files from a Packet.
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks.
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning.
De-anonymizing Social Networks Under Partial Overlap: An F-score Based Approach.
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning.
Threshold-based rerouting and replication for resolving job-server affinity relations.
Low Cost Sparse Network Monitoring Based on Block Matrix Completion.
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation.
Optimal Resource Allocation for Statistical QoS Provisioning in Supporting mURLLC Over FBC-Driven 6G Terahertz Wireless Nano-Networks.
Web-LEGO: Trading Content Strictness for Faster Webpages.
NFReducer: Redundant Logic Elimination for Network Functions with Runtime Configurations.
Invisible Poison: A Blackbox Clean Label Backdoor Attack to Deep Neural Networks.
Modeling the Cost of Flexibility in Communication Networks.
Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting.
Analyzing Learning-Based Networked Systems with Formal Verification.
Age of Information in Random Access Networks with Stochastic Arrivals.
Bandit Learning with Predicted Context: Regret Analysis and Selective Context Query.
Rate Region of Scheduling a Wireless Network with Discrete Propagation Delays.
A Worst-Case Approximate Analysis of Peak Age-of-Information Via Robust Queueing Approach.
Failure Localization through Progressive Network Tomography.
Sequential Resource Access: Theory and Algorithm.
LoFi: Enabling 2.4GHz LoRa and WiFi Coexistence by Detecting Extremely Weak Signals.
Robust Online Learning against Malicious Manipulation with Application to Network Flow Classification.
SteaLTE: Private 5G Cellular Connectivity as a Service with Full-stack Wireless Steganography.
DeepReserve: Dynamic Edge Server Reservation for Connected Vehicles with Deep Reinforcement Learning.
Minimizing the Number of Deployed UAVs for Delay-bounded Data Collection of IoT Devices.
Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks.
Physical Layer Key Generation between Backscatter Devices over Ambient RF Signals.
Taming Time-Varying Information Asymmetry in Fresh Status Acquisition.
Dual Attention-Based Federated Learning for Wireless Traffic Prediction.
POLO: Localizing RFID-Tagged Objects for Mobile Robots.
RespTracker: Multi-user Room-scale Respiration Tracking with Commercial Acoustic Devices.
A Fast-Convergence Routing of the Hot-Potato.
On Network Topology Augmentation for Global Connectivity under Regional Failures.
Experimental UAV Data Traffic Modeling and Network Performance Analysis.
P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees.
An Experience Driven Design for IEEE 802.11ac Rate Adaptation based on Reinforcement Learning.
Maximizing the Benefit of RDMA at End Hosts.
MANDA: On Adversarial Example Detection for Network Intrusion Detection System.
Your Home is Insecure: Practical Attacks on Wireless Home Alarm Systems.
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing.
Turbocharging Deep Backscatter Through Constructive Power Surges with a Single RF Source.
ProHiCo: A Probabilistic Framework to Hide Communities in Large Networks.
Multicast Communications with Varying Bandwidth Constraints.
A Universal Transcoding and Transmission Method for Livecast with Networked Multi-Agent Reinforcement Learning.
Blind Optimal User Association in Small-Cell Networks.
Proximity-Echo: Secure Two Factor Authentication Using Active Sound Sensing.
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification.
Joint Age of Information and Self Risk Assessment for Safer 802.11p based V2V Networks.
Leveraging Domain Knowledge for Robust Deep Reinforcement Learning in Networking.
Towards Minimum Fleet for Ridesharing-Aware Mobility-on-Demand Systems.
Going the Extra Mile with Disaster-Aware Network Augmentation.
TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks.
ScreenID: Enhancing QRCode Security by Fingerprinting Screens.
PROCESS: Privacy-Preserving On-Chain Certificate Status Service.
Flow Algebra: Towards an Efficient, Unifying Framework for Network Management Tasks.
Popularity-Aware 360-Degree Video Streaming.
Time-Varying Resource Graph Based Resource Model for Space-Terrestrial Integrated Networks.
Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems.
Strategic Information Revelation in Crowdsourcing Systems Without Verification.
CanalScan: Tongue-Jaw Movement Recognition via Ear Canal Deformation Sensing.
Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning.
Redundant Entanglement Provisioning and Selection for Throughput Maximization in Quantum Networks.
Traffic-aware Buffer Management in Shared Memory Switches.
Bipartite Graph Matching Based Secret Key Generation.
Jellyfish: Locality-Sensitive Subflow Sketching.
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs.
Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANs.
Trust Trackers for Computation Offloading in Edge-Based IoT Networks.
EdgeDuet: Tiling Small Object Detection for Edge Assisted Autonomous Mobile Vision.
TrackSign: Guided Web Tracking Discovery.
Distributed Neighbor Distribution Estimation with Adaptive Compressive Sensing in VANETs.
Programmable Switches for in-Networking Classification.
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices.
Low-Power Downlink for the Internet of Things using IEEE 802.11-compliant Wake-Up Receivers.
Online Joint Optimization on Traffic Engineering and Network Update in Software-defined WANs.
Statistical Delay and Error-Rate Bounded QoS Provisioning for 6G mURLLC Over AoI-Driven and UAV-Enabled Wireless Networks.
Learning the unknown: Improving modulation classification performance in unseen scenarios.
Signal Detection and Classification in Shared Spectrum: A Deep Learning Approach.
SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving.
Leveraging Website Popularity Differences to Identify Performance Anomalies.
Counter-Collusion Smart Contracts for Watchtowers in Payment Channel Networks.
EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets.
Practical Analysis of Replication-Based Systems.
Competing Epidemics on Graphs - Global Convergence and Coexistence.
Physical Layer Secure Communications Based on Collaborative Beamforming for UAV Networks: A Multi-objective Optimization Approach.
Uplink Multi-User Beamforming on Single RF Chain mmWave WLANs.
AdaPDP: Adaptive Personalized Differential Privacy.
Optimal Online Balanced Graph Partitioning.
Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization.
Fault-Tolerant Energy Management for Real-Time Systems with Weakly Hard QoS Assurance.
Distributed Threshold-based Offloading for Large-Scale Mobile Cloud Computing.
Cost-Driven Data Caching in the Cloud: An Algorithmic Approach.
Near Optimal and Dynamic Mechanisms Towards a Stable NFV Market in Multi-Tier Cloud Networks.
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach.
Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing.
Individual Load Forecasting for Multi-Customers with Distribution-aware Temporal Pooling.
Live Gradient Compensation for Evading Stragglers in Distributed Learning.
Medley: Predicting Social Trust in Time-Varying Online Social Networks.
Optimal Rack-Coordinated Updates in Erasure-Coded Data Centers.
Characterizing Ethereum's Mining Power Decentralization at a Deeper Level.
HearFit: Fitness Monitoring on Smart Speakers via Active Acoustic Sensing.
DC2: Delay-aware Compression Control for Distributed Machine Learning.
Camel: Context-Aware Magnetic MIMO Wireless Power Transfer with In-band Communication.
HAVS: Hardware-accelerated Shared-memory-based VPP Network Stack.
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism.
Mobility- and Load-Adaptive Controller Placement and Assignment in LEO Satellite Networks.
Launching Smart Selective Jamming Attacks in WirelessHART Networks.
Store Edge Networked Data (SEND): A Data and Performance Driven Edge Storage Framework.
Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning.
ShakeReader: 'Read' UHF RFID using Smartphone.
Enabling Edge-Cloud Video Analytics for Robotics Applications.
Minimizing Entropy for Crowdsourcing with Combinatorial Multi-Armed Bandit.
INT-label: Lightweight In-band Network-Wide Telemetry via Interval-based Distributed Labelling.
Towards Cross-Modal Forgery Detection and Localization on Live Surveillance Videos.
Bandwidth Isolation Guarantee for SDN Virtual Networks.
Making Multi-String Pattern Matching Scalable and Cost-Efficient with Programmable Switching ASICs.
BLESS: BLE-aided Swift Wi-Fi Scanning in Multi-protocol IoT Networks.
6Hit: A Reinforcement Learning-based Approach to Target Generation for Internet-wide IPv6 Scanning.
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN.
Setting the Record Straighter on Shadow Banning.
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach.
A Deep-Learning-based Link Adaptation Design for eMBB/URLLC Multiplexing in 5G NR.
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology.
Prison Break of Android Reflection Restriction and Defense.
Towards Fine-Grained Spatio-Temporal Coverage for Vehicular Urban Sensing Systems.
Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks.
Optimal Wireless Scheduling for Remote Sensing through Brownian Approximation.
DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN.
Modeling Communication Reliability in LoRa Networks with Device-level Accuracy.
Grafting Arborescences for Extra Resilience of Fast Rerouting Schemes.
Aion: A Bandwidth Optimized Scheduler with AoI Guarantee.
Coexistence of Wi-Fi 6E and 5G NR-U: Can We Do Better in the 6 GHz Bands?
Layer Aware Microservice Placement and Request Scheduling at the Edge.
Monitoring Cloud Service Unreachability at Scale.
Comparison of Decentralized and Centralized Update Paradigms for Remote Tracking of Distributed Dynamic Sources.
FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing.
A Lightweight Integrity Authentication Approach for RFID-enabled Supply Chains.
Jamming of LoRa PHY and Countermeasure.
Scalable On-Switch Rate Limiters for the Cloud.
Fix with P6: Verifying Programmable Switches at Runtime.
Motion-Prediction-based Wireless Scheduling for Multi-User Panoramic Video Streaming.
INCdeep: Intelligent Network Coding with Deep Reinforcement Learning.
Efficient Association of Wi-Fi Probe Requests under MAC Address Randomization.
AMT: Acoustic Multi-target Tracking with Smartphone MIMO System.
The Effect of Ground Truth Accuracy on the Evaluation of Localization Systems.
Combining Regularization with Look-Ahead for Competitive Online Convex Optimization.
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic Arms.
DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning.
802.11ad in Smartphones: Energy Efficiency, Spatial Reuse, and Impact on Applications.
ECLAT: An ECN Marking System for Latency Guarantee in Cellular Networks.
Towards the Fairness of Traffic Policer.
Reusing Backup Batteries as BESS for Power Demand Reshaping in 5G and Beyond.
Privacy Preserving and Resilient RPKI.
Adaptive Batch Update in TCAM: How Collective Optimization Beats Individual Ones.
GRADES: Gradient Descent for Similarity Caching.
Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing.
CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer.
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis.
MIERank: Co-ranking Individuals and Communities with Multiple Interactions in Evolving Networks.
GOLDIE: Harmonization and Orchestration Towards a Global Directory for IoT.
PCL: Packet Classification with Limited Knowledge.
On the Reliability of IEEE 802.1CB FRER.
Code is the (F)Law: Demystifying and Mitigating Blockchain Inconsistency Attacks Caused by Software Bugs.
Crowdsourcing System for Numerical Tasks based on Latent Topic Aware Worker Reliability.
Pyramid: A Layered Sharding Blockchain System.
Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model.
Reversible Models for Wireless Multi-Channel Multiple Access.
FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation.
The Impact of Baseband Functional Splits on Resource Allocation in 5G Radio Access Networks.
Edge-assisted Online On-device Object Detection for Real-time Video Analytics.
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions.
VideoLoc: Video-based Indoor Localization with Text Information.
CryptoEyes: Privacy Preserving Classification over Encrypted Images.
RFace: Anti-Spoofing Facial Authentication Using COTS RFID.
DRL-OR: Deep Reinforcement Learning-based Online Routing for Multi-type Service Requirements.
SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance.
NFD: Using Behavior Models to Develop Cross-Platform Network Functions.
Learning for Learning: Predictive Online Control of Federated Learning with Edge Provisioning.
MTP: Avoiding Control Plane Overload with Measurement Task Placement.
Fresh Caching for Dynamic Content.
First-Order Efficient General-Purpose Clean-Label Data Poisoning.
Efficient and Verifiable Proof of Replication with Fast Fault Localization.
Contact Tracing App Privacy: What Data Is Shared By Europe's GAEN Contact Tracing Apps.
BlendVLC: A Cell-free VLC Network Architecture Empowered by Beamspot Blending.
ToP: Time-dependent Zone-enhanced Points-of-interest Embedding-based Explainable Recommender system.
A Weak Consensus Algorithm and Its Application to High-Performance Blockchain.
Sample-level Data Selection for Federated Learning.
Accelerating LSH-based Distributed Search with In-network Computation.
Enhanced Flooding-Based Routing Protocol for Swarm UAV Networks: Random Network Coding Meets Clustering.
SOBA: Session optimal MDP-based network friendly recommendations.
Lifesaving with RescueChain: Energy-Efficient and Partition-Tolerant Blockchain Based Secure Information Sharing for UAV-Aided Disaster Rescue.
SILoc: A Speed Inconsistency-Immune Approach to Mobile RFID Robot Localization.
Ultra-Wideband Swarm Ranging.
RapidRider: Efficient WiFi Backscatter with Uncontrolled Ambient Signals.
Rate Allocation and Content Placement in Cache Networks.
PolarTracker: Attitude-aware Channel Access for Floating Low Power Wide Area Networks.
Multi-Agent Reinforcement Learning for Urban Crowd Sensing with For-Hire Vehicles.
Analyzing Age of Information in Multiaccess Networks by Fluid Limits.
Privacy-Preserving Outlier Detection with High Efficiency over Distributed Datasets.
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks.
Safety Critical Networks using Commodity SDNs.
Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning.
On the Performance of Pipelined HotStuff.
An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective.
AutoML for Video Analytics with Edge Computing.
Push the Limit of Device-Free Acoustic Sensing on Commercial Mobile Devices.
Real-time Sampling and Estimation on Random Access Channels: Age of Information and Beyond.
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System.
Robust 360° Video Streaming via Non-Linear Sampling.
GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet.
Delay-Tolerant Constrained OCO with Application to Network Resource Allocation.
Attack Resilience of Cache Replacement Policies.
ITE: A Structural Entropy Based Approach for Source Detection.
Pyramid: Real-Time LoRa Collision Decoding with Peak Tracking.
Joint Cache Size Scaling and Replacement Adaptation for Small Content Providers.
Train Once, Locate Anytime for Anyone: Adversarial Learning based Wireless Localization.
Dynamically Choosing the Candidate Algorithm with Ostasos in Online Optimization.
Bound Inference and Reinforcement Learning-based Path Construction in Bandwidth Tomography.
Adaptive Clustering-based Malicious Traffic Classification at the Network Edge.
Primus: Fast and Robust Centralized Routing for Large-scale Data Center Networks.
AWash: Handwashing Assistance for the Elderly with Dementia via Wearables.
Ruledger: Ensuring Execution Integrity in Trigger-Action IoT Platforms.
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach.
On Scheduling with AoI Violation Tolerance.
mCore: Achieving Sub-millisecond Scheduling for 5G MU-MIMO Systems.
Leveraging Public-Private Blockchain Interoperability for Closed Consortium Interfacing.
Looking for the Maximum Independent Set: A New Perspective on the Stable Path Problem.
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments.
Self-adjusting Advertisement of Cache Indicators with Bandwidth Constraints.
Cost-Effective Federated Learning Design.
Near-Optimal Topology-adaptive Parameter Synchronization in Distributed DNN Training.
π-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios.
Context-aware Website Fingerprinting over Encrypted Proxies.
Robust Service Mapping in Multi-Tenant Clouds.
Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks.
Tornadoes In The Cloud: Worst-Case Attacks on Distributed Resources Systems.
Incentive Mechanism Design for Distributed Coded Machine Learning.
WebMythBusters: An In-depth Study of Mobile Web Experience.
NetMARKS: Network Metrics-AwaRe Kubernetes Scheduler Powered by Service Mesh.
Multi-Robot Path Planning for Mobile Sensing through Deep Reinforcement Learning.
vGaze: Implicit Saliency-Aware Calibration for Continuous Gaze Tracking on Mobile Devices.
Optimal Multicast Scheduling for Millimeter Wave Networks Leveraging Directionality and Reflections.
AMIS: Edge Computing Based Adaptive Mobile Video Streaming.
Self-Adaptive Sampling for Network Traffic Measurement.
WiProg: A WebAssembly-based Approach to Integrated IoT Programming.
