- 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.