Network and Parallel Computing
portes grátis
Network and Parallel Computing
20th IFIP WG 10.3 International Conference, NPC 2024, Haikou, China, December 7-8, 2024, Proceedings, Part II
Pu, Lingjun; Guo, Deke; Xie, Xia; Min, Geyong; Chen, Xu
Springer Nature Switzerland AG
04/2025
474
Mole
Inglês
9789819628636
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Edge Computing and Intelligence.
.- A Fair Cooperation Strategy in the Edge-Edge Collaboration Scenario.
.- Joint Optimization of Transmission and Computation for Multi-Source MEC System Based on Deep Reinforcement Learning.
.- MARL-Based Joint Optimization of Service Migration and Resource Allocation in MEC.
.- NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading.
.- Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach.
.- Proactive Intellectual Property Protection for Edge AI Models.
.- SC-TSDRL: A Cloud-Edge Collaboration Framework for Diffusion Model Inference Acceleration.
.- Vickrey Auction Offloading for Edge-Assisted Video Analytics with Dynamic Gain Prediction.
.- Federated Learning Algorithms and Systems.
.- An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection.
.- Balanced Federated Learning with Two-stage Client Selection for Internet of Vehicles.
.- Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices.
.- FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds.
.- Federal Knowledge Graph Embedding Based on Incentive Mechanism.
.- FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity.
.- Heterogeneous Federated Learning with Controlled Gradient Variate of Client Momentum.
.- No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation.
.- Trustworthy and Incentivized Federated Learning Based on Blockchain.
.- Emerging Networks.
.- A Satellite-Ground Link Handover Strategy in LEO Networks using Advantage Actor-Critic Algorithm.
.- A Utility-Adjustable Reverse Auction Mechanism for UAV Data Collection Task Allocation.
.- Adaptive Switching of Lightweight and Complex DNNs for Air-Ground Collaborative Intelligence.
.- ADMM for Energy-efficient Computation Offloading in Marine Mobile Edge Computing Networks.
.- Analytical Route Discovery Time Estimation for UAV Networks.
.- Cross-Layer Intrusion Detection in UWSNs Using an Optimized CNN-LSTM Model.
.- Efficient Task Offloading in MEC via UAV-UGV Collaboration.
.- SUCP Analysis for Region-Centric UAV-Assisted MEC Networks.
.- Task Offloading Optimization in Multi-layer LEO Satellite-Terrestrial Integrated Networks with Hybrid Cloud and Edge Computing.
.- In-network Computing and Processing.
.- 2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams.
.- A Large-Scale Study of Abnormal Recursive DNS.
.- Adaptive Gradient Data Partition and Route Selection for Distributed DNN Training.
.- DeepSight: In-network packet loss management for TCP applications in datacenter networks.
.- DTN Routing Algorithm Based on Social Center and Classifier.
.- E2E-AutoPT: an end-to-end automated penetration testing with LSTM-PPO approach.
.- EAMTI: A Novel Method Toward Early and Accurate Malicious Traffic Identification.
.- Gradient-aware Incremental Network Quantization.
.- Providing Fine-grained Latency Control for Time Sensitive Networking: A Reordering Method.
.- rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust.
.- RuleAlchemy: Bidirectional Conflict-Aware Rule Aggregation for Crossed Probing Paths in SDN.
.- RVCC: Congestion Control to Reduce Victim Flows in Data Center Networks.
.- TAB: Traffic-aware Buffer Management on Programmable Switches.
.- A Fair Cooperation Strategy in the Edge-Edge Collaboration Scenario.
.- Joint Optimization of Transmission and Computation for Multi-Source MEC System Based on Deep Reinforcement Learning.
.- MARL-Based Joint Optimization of Service Migration and Resource Allocation in MEC.
.- NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading.
.- Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach.
.- Proactive Intellectual Property Protection for Edge AI Models.
.- SC-TSDRL: A Cloud-Edge Collaboration Framework for Diffusion Model Inference Acceleration.
.- Vickrey Auction Offloading for Edge-Assisted Video Analytics with Dynamic Gain Prediction.
.- Federated Learning Algorithms and Systems.
.- An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection.
.- Balanced Federated Learning with Two-stage Client Selection for Internet of Vehicles.
.- Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices.
.- FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds.
.- Federal Knowledge Graph Embedding Based on Incentive Mechanism.
.- FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity.
.- Heterogeneous Federated Learning with Controlled Gradient Variate of Client Momentum.
.- No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation.
.- Trustworthy and Incentivized Federated Learning Based on Blockchain.
.- Emerging Networks.
.- A Satellite-Ground Link Handover Strategy in LEO Networks using Advantage Actor-Critic Algorithm.
.- A Utility-Adjustable Reverse Auction Mechanism for UAV Data Collection Task Allocation.
.- Adaptive Switching of Lightweight and Complex DNNs for Air-Ground Collaborative Intelligence.
.- ADMM for Energy-efficient Computation Offloading in Marine Mobile Edge Computing Networks.
.- Analytical Route Discovery Time Estimation for UAV Networks.
.- Cross-Layer Intrusion Detection in UWSNs Using an Optimized CNN-LSTM Model.
.- Efficient Task Offloading in MEC via UAV-UGV Collaboration.
.- SUCP Analysis for Region-Centric UAV-Assisted MEC Networks.
.- Task Offloading Optimization in Multi-layer LEO Satellite-Terrestrial Integrated Networks with Hybrid Cloud and Edge Computing.
.- In-network Computing and Processing.
.- 2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams.
.- A Large-Scale Study of Abnormal Recursive DNS.
.- Adaptive Gradient Data Partition and Route Selection for Distributed DNN Training.
.- DeepSight: In-network packet loss management for TCP applications in datacenter networks.
.- DTN Routing Algorithm Based on Social Center and Classifier.
.- E2E-AutoPT: an end-to-end automated penetration testing with LSTM-PPO approach.
.- EAMTI: A Novel Method Toward Early and Accurate Malicious Traffic Identification.
.- Gradient-aware Incremental Network Quantization.
.- Providing Fine-grained Latency Control for Time Sensitive Networking: A Reordering Method.
.- rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust.
.- RuleAlchemy: Bidirectional Conflict-Aware Rule Aggregation for Crossed Probing Paths in SDN.
.- RVCC: Congestion Control to Reduce Victim Flows in Data Center Networks.
.- TAB: Traffic-aware Buffer Management on Programmable Switches.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
parallel algorithms;distributed applications;parallel architectures;distributed systems;edge computing;artificial intelligence;federated learning;storage;parallel processing systems;high performance computing
.- Edge Computing and Intelligence.
.- A Fair Cooperation Strategy in the Edge-Edge Collaboration Scenario.
.- Joint Optimization of Transmission and Computation for Multi-Source MEC System Based on Deep Reinforcement Learning.
.- MARL-Based Joint Optimization of Service Migration and Resource Allocation in MEC.
.- NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading.
.- Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach.
.- Proactive Intellectual Property Protection for Edge AI Models.
.- SC-TSDRL: A Cloud-Edge Collaboration Framework for Diffusion Model Inference Acceleration.
.- Vickrey Auction Offloading for Edge-Assisted Video Analytics with Dynamic Gain Prediction.
.- Federated Learning Algorithms and Systems.
.- An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection.
.- Balanced Federated Learning with Two-stage Client Selection for Internet of Vehicles.
.- Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices.
.- FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds.
.- Federal Knowledge Graph Embedding Based on Incentive Mechanism.
.- FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity.
.- Heterogeneous Federated Learning with Controlled Gradient Variate of Client Momentum.
.- No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation.
.- Trustworthy and Incentivized Federated Learning Based on Blockchain.
.- Emerging Networks.
.- A Satellite-Ground Link Handover Strategy in LEO Networks using Advantage Actor-Critic Algorithm.
.- A Utility-Adjustable Reverse Auction Mechanism for UAV Data Collection Task Allocation.
.- Adaptive Switching of Lightweight and Complex DNNs for Air-Ground Collaborative Intelligence.
.- ADMM for Energy-efficient Computation Offloading in Marine Mobile Edge Computing Networks.
.- Analytical Route Discovery Time Estimation for UAV Networks.
.- Cross-Layer Intrusion Detection in UWSNs Using an Optimized CNN-LSTM Model.
.- Efficient Task Offloading in MEC via UAV-UGV Collaboration.
.- SUCP Analysis for Region-Centric UAV-Assisted MEC Networks.
.- Task Offloading Optimization in Multi-layer LEO Satellite-Terrestrial Integrated Networks with Hybrid Cloud and Edge Computing.
.- In-network Computing and Processing.
.- 2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams.
.- A Large-Scale Study of Abnormal Recursive DNS.
.- Adaptive Gradient Data Partition and Route Selection for Distributed DNN Training.
.- DeepSight: In-network packet loss management for TCP applications in datacenter networks.
.- DTN Routing Algorithm Based on Social Center and Classifier.
.- E2E-AutoPT: an end-to-end automated penetration testing with LSTM-PPO approach.
.- EAMTI: A Novel Method Toward Early and Accurate Malicious Traffic Identification.
.- Gradient-aware Incremental Network Quantization.
.- Providing Fine-grained Latency Control for Time Sensitive Networking: A Reordering Method.
.- rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust.
.- RuleAlchemy: Bidirectional Conflict-Aware Rule Aggregation for Crossed Probing Paths in SDN.
.- RVCC: Congestion Control to Reduce Victim Flows in Data Center Networks.
.- TAB: Traffic-aware Buffer Management on Programmable Switches.
.- A Fair Cooperation Strategy in the Edge-Edge Collaboration Scenario.
.- Joint Optimization of Transmission and Computation for Multi-Source MEC System Based on Deep Reinforcement Learning.
.- MARL-Based Joint Optimization of Service Migration and Resource Allocation in MEC.
.- NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading.
.- Optimizing Resource Allocation in the Internet of Vehicles: An Intelligent Vehicle-Edge-Cloud Collaboration Approach.
.- Proactive Intellectual Property Protection for Edge AI Models.
.- SC-TSDRL: A Cloud-Edge Collaboration Framework for Diffusion Model Inference Acceleration.
.- Vickrey Auction Offloading for Edge-Assisted Video Analytics with Dynamic Gain Prediction.
.- Federated Learning Algorithms and Systems.
.- An Efficient Federated Meta Unlearning Algorithm with Enhanced Privacy Protection.
.- Balanced Federated Learning with Two-stage Client Selection for Internet of Vehicles.
.- Efficient Federated Learning with Cost-Adjustable Generative AI over Heterogeneous Edge Devices.
.- FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds.
.- Federal Knowledge Graph Embedding Based on Incentive Mechanism.
.- FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity.
.- Heterogeneous Federated Learning with Controlled Gradient Variate of Client Momentum.
.- No Fear of Domain Discrepancy: One-Shot Federated Learning via Class-Aware Distillation.
.- Trustworthy and Incentivized Federated Learning Based on Blockchain.
.- Emerging Networks.
.- A Satellite-Ground Link Handover Strategy in LEO Networks using Advantage Actor-Critic Algorithm.
.- A Utility-Adjustable Reverse Auction Mechanism for UAV Data Collection Task Allocation.
.- Adaptive Switching of Lightweight and Complex DNNs for Air-Ground Collaborative Intelligence.
.- ADMM for Energy-efficient Computation Offloading in Marine Mobile Edge Computing Networks.
.- Analytical Route Discovery Time Estimation for UAV Networks.
.- Cross-Layer Intrusion Detection in UWSNs Using an Optimized CNN-LSTM Model.
.- Efficient Task Offloading in MEC via UAV-UGV Collaboration.
.- SUCP Analysis for Region-Centric UAV-Assisted MEC Networks.
.- Task Offloading Optimization in Multi-layer LEO Satellite-Terrestrial Integrated Networks with Hybrid Cloud and Edge Computing.
.- In-network Computing and Processing.
.- 2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams.
.- A Large-Scale Study of Abnormal Recursive DNS.
.- Adaptive Gradient Data Partition and Route Selection for Distributed DNN Training.
.- DeepSight: In-network packet loss management for TCP applications in datacenter networks.
.- DTN Routing Algorithm Based on Social Center and Classifier.
.- E2E-AutoPT: an end-to-end automated penetration testing with LSTM-PPO approach.
.- EAMTI: A Novel Method Toward Early and Accurate Malicious Traffic Identification.
.- Gradient-aware Incremental Network Quantization.
.- Providing Fine-grained Latency Control for Time Sensitive Networking: A Reordering Method.
.- rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust.
.- RuleAlchemy: Bidirectional Conflict-Aware Rule Aggregation for Crossed Probing Paths in SDN.
.- RVCC: Congestion Control to Reduce Victim Flows in Data Center Networks.
.- TAB: Traffic-aware Buffer Management on Programmable Switches.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
