Systems & Networks · Computer Science & AI
Networking & Internet
The newest papers in Networking & Internet that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
248 papers, from 31 August 2026 to 5 November 2026: 208 arXiv preprints and 40 OpenAlex records.
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Newest papers, page 4
Efficient Exact Unlearning for Federated Zeroth-Order Optimization
Federated zeroth-order optimization (FedZOO) reduces the memory and communication costs of collaborative training for edge intelligence by avoiding backpropagation while communicating only random…One-Shot Federated Model Editing for Device Dynamics at the Edge
Standard federated learning (FL) requires persistent device connectivity across multiple communication rounds, making it unsuitable for dynamic environments such as vehicular networks, where devices…Satellite Intelligence: Distributed Training, Collaborative Inference,and LLM Adaptation in LEO Constellation
The proliferation of orbital sensing data and the real-time demands of emerging global services are pushing low Earth orbit (LEO) satellite networks from bent-pipe relays toward intelligent onboard…Routing Around the Queue: An Evaluation of Eco-Routing Protocol on different Traffic Scenarios
We evaluate ErouVe, a vehicular eco-routing protocol in which roadside units (RSUs) collect per-segment travel-time and CO2 reports from passing vehicles and answer route requests with the…Making the Telemetry Pipeline Measurable: An Edge IoT Testbed and Dataset for End-to-End Latency, Provenance, and Energy-Aware Benchmarking
Edge-centric IoT systems are increasingly evaluated through sensor values or platform features, yet the telemetry pipeline itself, the sequence of sensing, serialization, message mediation…Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients, without revealing any information on the individual model updates to the…BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics
Multi-agent reinforcement learning supports cooperative decision-making in Internet of Things systems, but strategic deviations can disrupt coordination and undermine confidence in the training…6G Reasoning Agent Societies: Composition, Scaling, and Consistency-Time Laws
Emerging 6G control planes would compose Large Language Model (LLM) agents that exchange interpreted conclusions, so hallucinations can propagate even over error-free transport.Quantum-Classical Link Prediction on Dark Web Hyperlink Graphs
We analyze HTML content and hyperlinks from an offline Tor crawl containing 383 onion hosts and 2,067 directed cross-host links.Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks
This paper studies interactions between clean-label poisoning attack and defense in vehicular networks using federated learning (FL).Terra-Fi: Decoupling Sensing and Wireless Depths for Sustainable Deep Underground Monitoring
Wireless underground sensor networks (WUSNs) enable in-situ monitoring of subsurface processes and buried assets to deliver substantial social and economic benefits across diverse verticals.AIRO: A Streaming-Based Machine Learning Framework for Threat Detection and Security in Industrial Internet of Things
Modern Industrial Internet of Things (IIoT) im- plementations now connect edge gateways, cloud dashboards and business applications.Adaptive Deadline- and Energy-Aware Caching Algorithms in Dynamic Multi-UAV Edge Networks
Content caching via unmanned aerial vehicles (UAVs) becomes one of the solutions to maintain content delivery when terrestrial infrastructure is unavailable or disrupted.Low-Latency MoE Inference in Space Data Centers: A Wireless-Power-Transfer Perspective
Space data centers (SpaceDCs) are emerging as platforms for large language models (LLMs), supported by continuous solar-energy harvesting and high-speed interconnections.SAKURA: Serving Attention Key-Value State Under Rate Adaptation for Private Image Editing on Phones
Diffusion transformers are widely used in image-editing services.Every Alarm Has a Cause: An Open Generator of Telecom Alarm Storms with Exact Root Causes, Bound to NORIA-O, RFC 8632 and TMF642
Alarm root-cause analysis is studied on data that cannot be shared.VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage
Perimeter triage faces a latency/semantics trade-off: signature engines are fast and format-safe but blind to unseen attacks, while generative models are semantic but slow and unparseable.Implementation of Dynamic Microsegmentation for a Multi-Robot Network
This report describes a laboratory instantiation of a dynamic microsegmentation function for an Internet-of-Things network, specifically a multi-robot network, using a commercial software-defined…CyberHull: Deterministic Malicious URL Isolation via Convex Hull
The emergence of increasingly sophisticated and evasion-resistant phishing attack strategies represents a significant threat to modern cybersecurity, particularly in cyber-physical systems and…Toward Agentic AI for the 6G Physical Layer: From Algorithm Discovery to Verified Baseband Silicon
6G will be designed faster than it can be built: AI-driven search already proposes physical-layer algorithms at machine speed, while carrying a single one onto embedded baseband silicon remains…