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cs.DC updates on arXiv.org

Poster: EdgeCitadel -- Hybrid NATS-MQTT Orchestration for Edge Multi-Agent Systems CoAgent: Concurrency Control for Multi-Agent Systems Green SARC: Predictive Cost and Carbon Governance for Agentic AI Systems Quantifying the Impact of Lossy Compression on Neural Generative Surrogate Modeling PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection Evaluating Gemma4 Models as AI Teaching Assistants for Introductory Parallel Programming: A DataRaceBench Study The Essence of Entity Component System Censorship-Resistant Sealed-Bid Auctions on Blockchains Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations NEURON-Fabric: CXL-Side Low-Bit Gradient Aggregation for Distributed Training Solyx AI Grid: Hardware-Telemetry-Aware Routing Across Geographically Distributed GPU Clusters A RAG-Enhanced Bi-Level Cognitive Orchestration Framework for LEO Satellite Networks uringscope: Portable, Low-Overhead Observability for io_uring Coordinated Scheduling for MoE LLM Serving Generation Quality-Latency Tradeoff-Aware Inference Offloading for Multimodal LLMs in Cloud-Edge Continuum Adaptive Resource Management and Quality Control for Streaming Video Generation Is RISC-V Ready for Massively Parallel Astrophysical Codes? SDVDiag: Multimodal Causal Discovery for Online Diagnosis in Software-defined Vehicles Incentives and Evidence in Learned Service Orchestration Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning Communication-Efficient Neural Tangent Kernels for Heterogeneous Decentralized Federated Learning SWARM-LLM: Collaborative Inference for Edge-based Small Language Models Secure and Low-Latency IoT Analytics Using an Edge-Based Streaming Architecture Raiders of the Lost Log: Synchronous Parallel In-Place Models and Algorithms SwiftCache: Efficient LLM Serving for Multi-turn Conversations with Heterogeneous KV Cache Sharing StorRep: Storage Research Experiment Patterns on Chameleon Cloud and Trovi Efficient Data Availability Sampling via Coded Distributed Arrays Generated, Parallel, Scalable? A Study of Agentic AI-Generated Julia Code on Supercomputers Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing DRIFT: Risk-Constrained Diffusion with Imitation Priors for Mixed-Autonomy Traffic Generation Robust and Automated Reconfiguration of Byzantine Wide-Area Replication From the NYU Ultracomputer to Modern Exascale: A Historical and Architectural Survey of In-Network Computing and Scalable Synchronization CacheWise: Understanding Workloads and Optimizing KVCache Management for Efficiently Serving LLM Coding Agents A Unified Constant-Time Switch Rule for Constructing Edge-Disjoint Hamiltonian Cycles in Gaussian Networks Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization Re-Rooting-Based Fault-Tolerant Broadcasting in Dense Gaussian Networks Beyond CPU-GPU Frequency: Memory-Clock and Tail Effects in Edge Inference Latency Estimation did:crdt: Coordination-Free Decentralised Identifiers via Signed CRDTs Single-Connection Mixed-Criticality Transport with CATS: Bounded Guarantees, Three Structural Limits, and a QUIC Escape Diagonal-Budgeted Trotterization for Efficient Quantum Hamiltonian Simulation Distributed Load Balancing with Workload-Dependent Service Rates Stannic: Systolic STochAstic ONliNe SchedulIng AcCelerator Complete CALM: A Coordination Criterion for Specifications HeRo: Adaptive Orchestration of Agentic RAG on Heterogeneous Mobile SoC CoBRA: A Universal Strategyproof Confirmation Protocol for Quorum-based Proof-of-Stake Blockchains MegaFold: Efficient Training of Next-Generation 3D Attention Protein Models on Cross-Platform GPUs Benchmarking Quantum Computers via Protocols, Comparing IBM's Heron vs IBM's Eagle EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control Frontier: Towards Comprehensive and Accurate LLM Inference Simulation From Detection to Recovery: Operational Analysis on LLM Pre-training with 504 GPUs MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems Act While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool Execution RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving MIRAGE: Runtime Scheduling for Multi-Vector Image Retrieval with Hierarchical Decomposition Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints Photon: Federated LLM Pre-Training
A High-Throughput AES-GCM Implementation on GPUs for Secure, Policy-Based Access to Massive Astronomical Catalogs
Samuel Lemes · 2026-06-16 · via cs.DC updates on arXiv.org
arXiv:2602.23067v2 Announce Type: replace-cross Abstract: The era of large astronomical surveys generates mas…