Network and Parallel 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.