Your Watch Will One Day Track Blood Pressure

Your Watch Will One Day Track Blood Pressure

• Your smartwatch can track a lot of things, but at least for now, it can’t keep an accurate eye on your blood pressure. • Last week researchers from University of Texas at Austin

A Context-Aware Knowledge Graph Platform for Stream Processing in Industrial IoT

A Context-Aware Knowledge Graph Platform for Stream Processing in Industrial IoT

• Integrates heterogeneous IoT/IoE data streams via a unified Knowledge Graph for semantic interoperability. • Employs Apache Kafka and Flink for real‑time, distributed stream proc

A Formal Framework for Predicting Distributed System Performance under Faults

A Formal Framework for Predicting Distributed System Performance under Faults

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 22 Feb 2026] Title:A Formal Framework for Predicting Distributed System Performance under Faults Vie

A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks

A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks

• Introduces SD‑GT, a semi‑decentralized gradient‑tracking method for fog‑based federated learning. • Eliminates gradient‑diversity assumptions, enabling robust training across hig

A Quantum Internet Protocol Suite Beyond Layering

A Quantum Internet Protocol Suite Beyond Layering

• Layering unsuitable for quantum internet due to entanglement’s non‑local, stateful nature. • Dynamic composition introduces distributed orchestration fabric driven by node local

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response

• Integrated UAV‑edge framework co‑optimizes route, fleet size, and edge service for wildfire monitoring. • Fire‑history‑weighted clustering prioritizes high‑risk zones, improving

Adaptive Underwater Acoustic Communications with Limited Feedback: An AoI-Aware Hierarchical Bandit Approach

Adaptive Underwater Acoustic Communications with Limited Feedback: An AoI-Aware Hierarchical Bandit Approach

• Bilevel Multi‑Armed Bandit framework for underwater acoustic communications in dynamic environments. • Inner CD‑MAB jointly optimizes modulation and power using channel state and

Agentic AI for Scalable and Robust Optical Systems Control

Agentic AI for Scalable and Robust Optical Systems Control

• AgentOptics framework uses agentic AI for autonomous optical system control via MCP. • Interprets natural language tasks, executes protocol-compliant actions across heterogeneous

AI-Powered Conflict Management in Open RAN: Detection, Classification, and Mitigation

AI-Powered Conflict Management in Open RAN: Detection, Classification, and Mitigation

• Open RAN uses AI xApps/rApps for dynamic optimization but independent ICP adjustments can cause conflicts. • Conflicts (direct, indirect, implicit) destabilize network and degrad

ASL360: AI-Enabled Adaptive Streaming of Layered 360$^\circ$ Video over UAV-assisted Wireless Networks

ASL360: AI-Enabled Adaptive Streaming of Layered 360$^\circ$ Video over UAV-assisted Wireless Networks

• ASL360 introduces AI-driven scheduler for 360° video over UAV-assisted 5G networks. • Uses deep reinforcement learning (PPO) to select base and enhancement layers, maximizing QoE

Asymptotic Subspace Consensus in Dynamic Networks

Asymptotic Subspace Consensus in Dynamic Networks

• Introduces asymptotic subspace consensus, extending asymptotic consensus to converge onto a shared subspace. • Requires process outputs to stay within convex hull of initial stat

Automatic Network Planning with Digital Radio Twin

Automatic Network Planning with Digital Radio Twin

• AutoPlan automates cellular base‑station planning by integrating a digital radio twin (DRT) model. • DRT parameters are fine‑tuned using crowdsourced real‑world user data to shri

BeamVLM for Low-altitude Economy: Generative Beam Prediction via Vision-language Models

BeamVLM for Low-altitude Economy: Generative Beam Prediction via Vision-language Models

• BeamVLM introduces vision-language model for UAV-to-base station beam prediction in low-altitude economy. • Treats beam prediction as vision QA, projecting visual patches into la

BiScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFS

BiScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFS

• Prefill/decode disaggregation improves latency-throughput tradeoff for large language model serving. • Energy consumption remains high; autoscaling is too coarse-grained for rapi

Carbon-aware decentralized dynamic task offloading in MIMO-MEC networks via multi-agent reinforcement learning

Carbon-aware decentralized dynamic task offloading in MIMO-MEC networks via multi-agent reinforcement learning

• CADDTO-PPO introduces carbon‑aware decentralized task offloading for MIMO‑MEC networks in. • Uses multi‑agent proximal policy optimization to jointly minimize carbon emissions,

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement

• Edge IoT devices face limited hardware, demanding efficient CEP solutions. • Study balances execution costs across CEP task graph paths via constrained programming. • Python libr

Deep Reinforcement Learning for Optimizing Energy Consumption in Smart Grid Systems

Deep Reinforcement Learning for Optimizing Energy Consumption in Smart Grid Systems

• PINNs replace costly smart grid simulators, reducing sample inefficiency in RL-based OPF solutions. • RL policy learning converges 50% faster using PINN surrogates versus traditi

EdgeSketch: Efficient Analysis of Massive Graph Streams

EdgeSketch: Efficient Analysis of Massive Graph Streams

• EdgeSketch is a compact graph sketch enabling efficient analysis of massive graph streams. • Provides unbiased estimators for key graph properties with controllable variance. • S

Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing

Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing

• Semantic communications transmit only task-relevant information, reducing bandwidth for interactive CV. • Editable-DeepSC introduces joint editing-channel coding (JECC) to preser

EMS-FL: Federated Tuning of Mixture-of-Experts in Satellite-Terrestrial Networks via Expert-Driven Model Splitting

EMS-FL: Federated Tuning of Mixture-of-Experts in Satellite-Terrestrial Networks via Expert-Driven Model Splitting

• Combines Mixture‑of‑Experts (MoE) with satellite‑terrestrial networks (STN) to overcome data scarcity and compute limits in federated learning. • Introduces EMS‑FL, an expert‑dri

Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins

Federated Learning-Assisted Optimization of Mobile Transmission with Digital Twins

• Federated learning framework enables mobile transmission scheduling while preserving device privacy. • Three energy‑constrained problems tackled: minimize transmission time, fixe

GPU-Resident Gaussian Process Regression Leveraging Asynchronous Tasks with HPX

GPU-Resident Gaussian Process Regression Leveraging Asynchronous Tasks with HPX

• GPRat library extended to a fully GPU-resident Gaussian Process prediction pipeline. • Combines HPX task‑based parallelism with an intuitive Python API for seamless integration.

Health+: Empowering Individuals via Unifying Health Data

Health+: Empowering Individuals via Unifying Health Data

• Health+ addresses fragmented personal health data across incompatible systems, enabling unified access. • Empowers users to upload, query, and share multimodal records-text, imag

Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation

Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation

• Lightweight modular framework augments outdoor multi‑cell fingerprinting using existing MDT records. • Spatial synthesis via KDE generates geographically coherent synthetic locat

Linear Reservoir: A Diagonalization-Based Optimization

Linear Reservoir: A Diagonalization-Based Optimization

• Diagonalize recurrent matrix to transform reservoir dynamics into eigenbasis, eliminating costly matrix multiplication. • Achieves per-step computational complexity reduction fro

MetaBlue: A Metasurface-Assisted Acoustic Underwater Localization System

MetaBlue: A Metasurface-Assisted Acoustic Underwater Localization System

• MetaBlue introduces a low-cost passive acoustic metasurface that turns any ultrasonic transmitter into a directional super-transmitter. • The metasurface embeds direction-depende

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation

• Error-bounded lossy compression tackles exploding scientific data volumes in HPC. • Pre‑quantization removes sequential dependency, enabling high parallelism but introduces artif

On the Inherent Resilience of Task-Oriented V2X Networks to Content-Selection Errors

On the Inherent Resilience of Task-Oriented V2X Networks to Content-Selection Errors

• Task-oriented V2X networks prioritize message content based on relevance to receivers. • Estimating relevance in dynamic vehicular environments is challenging, leading to errors.

Parametric Traversal for Multi-Dimensional Cost-Aware Graph Reasoning

Parametric Traversal for Multi-Dimensional Cost-Aware Graph Reasoning

• Introduces traversal concept generalizing paths with gap transitions for incomplete networks. • Treats planned connections as first-class transitions, enabling realistic infrastr

Semantic Conflict Model for Collaborative Data Structures

Semantic Conflict Model for Collaborative Data Structures

• Introduces a new conflict model for collaborative data structures enabling explicit local-first resolution. • Uses semantic dependencies between operations to detect conflicts in

Spritz: Path-Aware Load Balancing in Low-Diameter Networks

Spritz: Path-Aware Load Balancing in Low-Diameter Networks

• Spritz introduces sender‑based load balancing for low‑diameter topologies like Dragonfly and Slim Fly. • Two algorithms-Spritz‑Scout and Spritz‑Spray-explore and cache efficient

The Category Mistake of Cislunar Time: Why NASA Cannot Synchronize What Doesn't Exist

The Category Mistake of Cislunar Time: Why NASA Cannot Synchronize What Doesn't Exist

• NASA’s 2026 cislunar time goal relies on deploying lunar atomic clocks and LunaNet for universal synchronization. • The paper argues this effort commits a category mistake, treat

The Landscape of GPU-Centric Communication

The Landscape of GPU-Centric Communication

• GPUs dominate HPC/ML workloads, yet inter‑GPU communication remains a scalability bottleneck. • Traditional CPU‑centric communication is being challenged by GPU‑centric models th

Traffic-Aware Configuration of OPC UA PubSub in Industrial Automation Networks

Traffic-Aware Configuration of OPC UA PubSub in Industrial Automation Networks

• OPC UA PubSub offers efficient communication for heterogeneous industrial devices. • Lack of guidelines for mapping traffic types to PubSub configurations leads to misconfigurati

ucTrace: A Multi-Layer Profiling Tool for UCX-driven Communication

ucTrace: A Multi-Layer Profiling Tool for UCX-driven Communication

• ucTrace delivers fine‑grained UCX communication traces, filling gaps left by existing MPI profilers. • It maps UCX operations back to originating MPI calls, linking host‑to‑devic

WANSpec: Leveraging Global Compute Capacity for LLM Inference

WANSpec: Leveraging Global Compute Capacity for LLM Inference

• WANSpec leverages under‑utilized global data centers for LLM inference to reduce latency and cost. • Uses speculative decoding by moving draft model to low‑demand GPUs, cutting f

What Distributed Computing Got Wrong: The Category Mistake That Turned Design Choices into Laws of Nature

What Distributed Computing Got Wrong: The Category Mistake That Turned Design Choices into Laws of Nature

• Distributed computing’s classic impossibility theorems misinterpret physical limits. • They stem from treating Forward‑In‑Time‑Only (FITO) flow as a law of nature. • FITO is a hi

When Coordination Is Avoidable: A Monotonicity Analysis of Organizational Tasks

When Coordination Is Avoidable: A Monotonicity Analysis of Organizational Tasks

• Coordination overhead in multi-agent AI often exceeds task cost, yet necessity unclear. • Monotonicity: a task is coordination‑required iff new info can invalidate prior conclusi

Why iCloud Fails: The Category Mistake of Cloud Synchronization

Why iCloud Fails: The Category Mistake of Cloud Synchronization

• iCloud Drive offers a filesystem view but implements synchronization that violates POSIX semantics. • The core issue is a Category Mistake: applying Forward‑In‑Time‑Only assumpti

AI's Math Tricks Don't Work for Scientific Computing

AI's Math Tricks Don't Work for Scientific Computing

• AI has driven an explosion of new number formats-the ways in which numbers are represented digitally. • Engineers are looking at every possible way to save computation time and e

AI for Cybersecurity: Promise, Practice, and Pitfalls

AI for Cybersecurity: Promise, Practice, and Pitfalls

• AI for Cybersecurity: Promise, Practice, and Pitfalls Free Virtual EventNovember 19, 2025 | 11:00 AM EDT About The Event AI is revolutionizing the cybersecurity landscape. • From

The Age-Verification Trap

The Age-Verification Trap

• Social media is going the way of alcohol, gambling, and other social sins: Societies are deciding it’s no longer kid stuff. • Lawmakers point to compulsive use, exposure to harmf

A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum

A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 20 Feb 2026] Title:A reliability- and latency-driven task allocation framework for workflow applicat

A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows

A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 20 Aug 2025 (v1), last revised 20 Feb 2026 (this version, v3)] Title:A Systematic Evaluation of the

A traffic incident management framework for vehicular ad hoc networks

A traffic incident management framework for vehicular ad hoc networks

• Computer Science > Networking and Internet Architecture [Submitted on 20 Feb 2026] Title:A traffic incident management framework for vehicular ad hoc networks View PDFAbstract:Ve

Bitcoin Under Stress: Measuring Infrastructure Resilience 2014-2025

Bitcoin Under Stress: Measuring Infrastructure Resilience 2014-2025

• Computer Science > Networking and Internet Architecture [Submitted on 16 Feb 2026 (v1), last revised 20 Feb 2026 (this version, v2)] Title:Bitcoin Under Stress: Measuring Infrast

Closing Africa's Early Warning Gap: AI Weather Forecasting for Disaster Prevention

Closing Africa's Early Warning Gap: AI Weather Forecasting for Disaster Prevention

• Computer Science > Computers and Society [Submitted on 18 Feb 2026] Title:Closing Africa’s Early Warning Gap: AI Weather Forecasting for Disaster Prevention View PDFAbstract:In J

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing

• Computer Science > Artificial Intelligence [Submitted on 14 Jan 2026 (v1), last revised 20 Feb 2026 (this version, v2)] Title:Cluster Workload Allocation: Semantic Soft Affinity

Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs

Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 19 Feb 2026] Title:Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TP

DH-EAC: Design of a Dynamic, Hierarchical Entanglement Access Control Protocol

DH-EAC: Design of a Dynamic, Hierarchical Entanglement Access Control Protocol

• Computer Science > Networking and Internet Architecture [Submitted on 3 Oct 2025 (v1), last revised 20 Feb 2026 (this version, v2)] Title:DH-EAC: Design of a Dynamic, Hierarchica

Distributed Security: From Isolated Properties to Synergistic Trust

Distributed Security: From Isolated Properties to Synergistic Trust

• Computer Science > Cryptography and Security [Submitted on 20 Feb 2026] Title:Distributed Security: From Isolated Properties to Synergistic Trust View PDF HTML (experimental)Abst

Distributed Triangle Enumeration in Hypergraphs

Distributed Triangle Enumeration in Hypergraphs

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 19 Feb 2026] Title:Distributed Triangle Enumeration in Hypergraphs View PDF HTML (experimental)Abstr

Faster Parallel Batch-Dynamic Algorithms for Low Out-Degree Orientation

Faster Parallel Batch-Dynamic Algorithms for Low Out-Degree Orientation

• Introduces parallel batch-dynamic algorithms for maintaining low out-degree orientations in undirected graphs. • Achieves polylogarithmic depth with high probability, focusing on

FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler

FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler

• Computer Science > Networking and Internet Architecture [Submitted on 30 Oct 2025 (v1), last revised 20 Feb 2026 (this version, v2)] Title:FGGM: Formal Grey-box Gradient Method f

GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opportunities and Limitations

GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opportunities and Limitations

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 19 Feb 2026] Title:GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opp

Graph-Neural Multi-Agent Coordination for Distributed Access-Point Selection in Cell-Free Massive MIMO

Graph-Neural Multi-Agent Coordination for Distributed Access-Point Selection in Cell-Free Massive MIMO

• Computer Science > Networking and Internet Architecture [Submitted on 20 Feb 2026] Title:Graph-Neural Multi-Agent Coordination for Distributed Access-Point Selection in Cell-Free

Green by Design: Constraint-Based Adaptive Deployment in the Cloud Continuum

Green by Design: Constraint-Based Adaptive Deployment in the Cloud Continuum

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 20 Feb 2026] Title:Green by Design: Constraint-Based Adaptive Deployment in the Cloud Continuum View

It does not matter how you define locally checkable labelings

It does not matter how you define locally checkable labelings

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 20 Feb 2026] Title:It does not matter how you define locally checkable labelings View PDF HTML (expe

It's Not Just Timestamps: A Study on Docker Reproducibility

It's Not Just Timestamps: A Study on Docker Reproducibility

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 3 Feb 2026] Title:It’s Not Just Timestamps: A Study on Docker Reproducibility View PDF HTML (experim

Joint Training on AMD and NVIDIA GPUs

Joint Training on AMD and NVIDIA GPUs

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 20 Feb 2026] Title:Joint Training on AMD and NVIDIA GPUs View PDF HTML (experimental)Abstract:As lar