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 9
From Intents to Algorithms: Verified Algorithm Discovery for Transport Networks
Intent-based networking decouples desired outcomes from device-level configuration, but most systems still map intents to parameters of an algorithm selected in advance.Distributed Stochastic Approximation Algorithms and Heavy-Tailed Age of Information
Algorithms in multi-agent systems such as federated learning, mobile robotic swarming, and consensus control can be designed and analyzed as distributed stochastic approximation algorithms.Unmasking Shortcut Learning in IoT Intrusion Detection: A Forensic, Multi-Paradigm Evaluation of Feature Dependence and Data Leakage
Machine learning-based Network Intrusion Detection Systems often report near-perfect performance on IoT benchmarks.Distributed Service Orchestration in Edge-Cloud Continuum for Digital Healthcare
Today's digital healthcare services rely on various applications and functions that must be continuously accessible.Modulating Retroreflector-Aided UAV-Based FSO/QKD Systems
Unmanned aerial vehicles (UAVs)-based free-space optics (FSO)/quantum key distribution (QKD) systems require high-precision pointing mechanisms.Coherence in Biological Systems
When does a collection of autonomous cells become a multicellular individual?Trust in Edge-Enabled IoT Security: Features, Challenges and Research Directions
Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things (IoT).WeightBridge: An Efficient Weight Transfer Library for Reinforcement Learning
Weight transfer - the propagation of updated parameters from trainers to rollout generators - is becoming an important performance bottleneck in reinforcement learning (RL) systems for LLMs.IMPACT: Intent-driven Multi-agent Policy with Attention for SLO-guaranteed Microservice Migration in Cloud-edge Systems
Ensuring strict tail-latency service-level objectives (SLOs) in dynamic mobile edge computing (MEC) systems remains challenging because user mobility, wireless fading, bursty workloads, and partial…Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study
Residential traffic classification supports service management, but learning across homes must account for heterogeneous traffic and privacy constraints.SemDHT: Certified Semantic Discovery for Peer-to-Peer Agent Networks over Exact-Key DHTs
Agents may need capabilities exposed through external agent endpoints or service APIs.Remote IoT Source Monitoring with Delayed Feedback
Remote source monitoring is a key use case for Internet of things (IoT) applications, calling on efficient communications protocols to ensure timely data delivery.Orientation-Aware Control and Trajectory Design for Aerial RIS-Assisted Wireless Communications
Aerial Reconfigurable Intelligent Surfaces (ARISs) can enhance wireless connectivity in obstructed environments by combining reconfigurable metasurfaces with aerial mobility.Semantics Delivery Network: Rethinking Web Retrieval Infrastructure for LLM Agents
Large language models (LLMs) increasingly rely on external sources when answering questions that require proprietary information or up-to-date live web content, through both traditional single-shot…User-Level Handover Decision Making Based on Machine Learning Approaches
This letter covers a broad comparison of methods for classification and regression applications for a user-level handover decision making in scenarios with adverse propagation conditions involving…The Life of a Token: from Words to Bits on the Wire
Large Language Models (LLMs) transform vast collections of unstructured text into semantic patterns used for language generation and reasoning tasks.STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks
LEO satellite networks feature dynamic topologies, time-varying links, and diverse service requirements, which make conventional routing schemes difficult to support fine-grained quality-of-service…Value-Based Massive Access through Goal-Oriented Irregular Repetition Slotted ALOHA
The goal-oriented communication paradigm is poised to enable novel real-time applications by easing the burden on communication networks while still delivering task-relevant information.NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment
Connected-vehicle safety evaluations rely on coupled traffic and network simulations, but standard channel models ignore radio resource competition in 5G NR sidelink Mode-2, reporting…The Operable Pareto Front: Distilling Offline Search into Run-Time Control for Multi-Objective UAV Edge-Computing Scheduling
A UAV mobile edge computing (MEC) fleet trades energy against delay, and its schedules form a Pareto front; we call a scheduler operable when the fleet can be asked for any point on that front at…