Research Papers
Research Papers news — Monday 26 October 2026
32 stories from 2 sources, every one in English. Each links to its publisher.
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Quantum Cadence: Post-Quantum Consensus with Multiple Concurrent Proposers
arXiv cs.DC (Distributed)
arXiv:2610.32803v1 Announce Type: new Abstract: The consensus protocols of most high-performance blockchains use quorum certificates, which bundle the signatures of a quorum of validators. Signature schemes such as BLS can aggregate the…
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A Reduced Stochastic Model of Microservice Availability: Algorithms for Identification and Formal Analysis
arXiv cs.DC (Distributed)
arXiv:2607.00740v2 Announce Type: replace-cross Abstract: Estimating microservice operation availability requires connecting runtime observations to completion of the required work within a deadline. Detailed architectural models provide…
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Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead
arXiv cs.DC (Distributed)
arXiv:2610.32215v1 Announce Type: new Abstract: The growing computational power of modern GPU data centers has let a few industrial giants train and deploy large language models (LLMs) on massive amounts of data. Yet the sheer scale of…
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Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks
arXiv cs.DC (Distributed)
arXiv:2610.32765v1 Announce Type: cross Abstract: This paper studies interactions between clean-label poisoning attack and defense in vehicular networks using federated learning (FL). Basic Safety Message (BSM) classification for anomaly…
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Beyond Hotness: High-Resolution Memory Characterization of Cloud and LLM Workloads for Tiered Memory with ARM SPE
arXiv cs.DC (Distributed)
arXiv:2610.32711v1 Announce Type: new Abstract: Memory demands from data analytics and LLM workloads grow rapidly, driving up memory costs in cloud and data centers. Multi-tier memory has emerged as a promising solution to balance…
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Migration as a Steady-State Execution Primitive: A Runtime for Virtual Stationarity in Low-Earth Orbit
arXiv cs.DC (Distributed)
arXiv:2610.32720v1 Announce Type: new Abstract: Low Earth Orbit (LEO) satellite mega-constellations enable orbital edge computing for latency-critical geocentric applications, but satellite motion compresses line-of-sight communication…
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Power- and Fragmentation-aware Online Scheduling for GPU Datacenters
arXiv cs.DC (Distributed)
arXiv:2412.17484v2 Announce Type: replace Abstract: The rise of Artificial Intelligence and Large Language Models is driving increased GPU usage in data centers for complex training and inference tasks, impacting operational costs, energy…
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Toward Open ISA Supercomputing: A Comparative Study of RISC-V, Arm, and x86 Architectures on HPC Workloads
arXiv cs.DC (Distributed)
arXiv:2610.32632v1 Announce Type: new Abstract: RISC-V is emerging as a candidate architecture for high-performance computing (HPC), but its competitiveness against established x86 and Arm processors remains difficult to assess because…
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KVStream: Adaptive Parallel Storage Management for KV Caching in Large-Scale LLM Serving
arXiv cs.DC (Distributed)
arXiv:2610.31827v1 Announce Type: new Abstract: Long-context LLM serving for agentic, coding, and document workloads reuses prefixes whose key-value (KV) cache outgrows GPU and host memory, putting storage I/O on the critical path of the…
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HyScale: Scaling Long-Context Training for Learned Sparse Attention
arXiv cs.DC (Distributed)
arXiv:2610.32057v1 Announce Type: cross Abstract: We present HyScale, a long-context training system for learned sparse attention. Learned sparse attention is a promising architecture for million-token contexts, widely adopted in…
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FastGraph: PCA-Subspace Binned k-Nearest-Neighbor Graph Construction for GPU Geometric Deep Learning
arXiv cs.DC (Distributed)
arXiv:2511.10442v2 Announce Type: replace Abstract: Dynamic graph neural networks repeatedly construct k-nearest-neighbor graphs in learned latent spaces, making GPU-accelerated graph construction an important operation in scientific…
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Bounding Queue Waits for Fair Scheduling of Bursty HPC Workloads via Hierarchical Algorithms
arXiv cs.DC (Distributed)
arXiv:2610.32027v1 Announce Type: new Abstract: HPC clusters are shared among many projects, each holding an allocation of node-hours, and ensuring fairness is becoming harder. Foundation models workflows and automated pipelines have made…
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InferSlice: A Reference Architecture for SLO-driven LLM Inference over a Telco Wide-Area Network
arXiv cs.DC (Distributed)
arXiv:2610.32638v1 Announce Type: new Abstract: LLM inference is increasingly deployed as a core service for enterprise and interactive applications, but sovereignty, compliance, latency and resource-locality requirements can limit the…
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Not All Retained Clients Are Equal: Client Selection for Federated Unlearning
arXiv cs.DC (Distributed)
arXiv:2610.31786v1 Announce Type: cross Abstract: Federated unlearning (FU) aims to remove a designated target client's influence from a trained model without the prohibitive cost of retraining from scratch. Existing methods largely treat…
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On Latency-Optimal Implementations of the Timestamp Object
arXiv cs.DC (Distributed)
arXiv:2610.32844v1 Announce Type: new Abstract: Timestamps are widely used in distributed algorithms to order operations. In this paper, we study the timestamp object (TS), which provides a single operation that returns strictly increasing…
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SILMARILS-MV: Information-Theoretically Secure Multi-Verifier Signatures with Dealer-Free Key Issuance and Linear Aggregation for Permissioned Blockchains
arXiv cs.DC (Distributed)
arXiv:2610.31814v1 Announce Type: cross Abstract: Permissioned blockchains authenticate transactions, votes and quorum certificates with computationally secure signatures, and post-quantum replacements inflate consensus traffic by orders…
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GLP Networking API Specification
arXiv cs.DC (Distributed)
arXiv:2610.32583v1 Announce Type: cross Abstract: Multiagent deterministic GLP (madGLP) runs Grassroots Logic Programs (GLP) as agents that communicate solely by asynchronous message passing, and assumes fair delivery: every message sent…
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Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning
arXiv cs.DC (Distributed)
arXiv:2610.32438v1 Announce Type: cross Abstract: Long-term environmental IoT/LPWAN deployments often aggregate heterogeneous data streams from diverse devices without systematic auditing of each variable's actual coverage prior to…
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Tile-Based Decompression in Compiled GPU Engines
arXiv cs.DC (Distributed)
arXiv:2610.32695v1 Announce Type: cross Abstract: Modern GPUs reach record analytical performance only when a query's working set fits within its GPU memory budget, and that budget is under growing pressure: GPUs are partitioned and…
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Beyond the Monolithic Scheduler: Lightweight Adaptive Policy Switcher for Process Scheduling Optimization
arXiv cs.DC (Distributed)
arXiv:2511.11628v2 Announce Type: replace Abstract: Modern operating system process schedulers typically enforce a static, ``one-policy-fits-all'' design, which inevitably compromises performance under the highly dynamic and mixed…
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Resource-Aware Task Allocator Design: Insights and Recommendations for Distributed Satellite Constellations
arXiv cs.DC (Distributed)
arXiv:2601.06706v3 Announce Type: replace Abstract: We present the design of a Resource-Aware Task Allocator (RATA) and an empirical analysis in handling real-time tasks for processing on Distributed Satellite Systems (DSS). We consider…
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From a Last-Week Add-On to First-Day Practice: Three Years of Integrating MPI Performance Analysis into HPC Education with EduMPI Suite
arXiv cs.DC (Distributed)
arXiv:2610.06352v2 Announce Type: replace Abstract: Performance analysis is essential for scalable MPI programs, yet tool and workflow complexity often relegates it to the end of Parallel Programming courses. EduMPI Suite lowers this entry…
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TreeWY: Speculative Verification for Gated DeltaNet Hybrids
arXiv cs.DC (Distributed)
arXiv:2608.20961v2 Announce Type: replace-cross Abstract: Modern open models are hybrids: most layers are linear-attention (Gated DeltaNet, GDN) layers carrying a small fixed-size recurrent state instead of a growing key-value (KV) cache…
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HAWK: Heterogeneity-Aware KV Cache Transfer for Efficient GPU-NPU Phase-Disaggregated LLM Inference
arXiv cs.DC (Distributed)
arXiv:2610.29873v2 Announce Type: replace-cross Abstract: Large language model (LLM) inference exhibits distinct computational characteristics across its two phases: prefill is compute-intensive, whereas decode is more memory-bound. As a…
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uGDS: A User-Space Development Kit for High-Performance GPU Direct Storage
arXiv cs.DC (Distributed)
arXiv:2610.30868v2 Announce Type: replace Abstract: Data-intensive GPU applications increasingly rely on NVMe SSDs to extend GPU memory. NVIDIA GPU Direct Storage (GDS) enables direct SSD-GPU transfers via PCIe peer-to-peer DMA…
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KnitTrans: Coordinated Trajectory Transfer for Effective and Efficient LLM Reinforcement Learning
arXiv cs.DC (Distributed)
arXiv:2610.32389v1 Announce Type: new Abstract: Trajectory transfer from rollout to training affects both learning quality and system efficiency in large language model reinforcement learning (RL). Enforcing batch-wide training…
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A Real-time tax compliance architecture for VAT split payments with Making Tax Smart and Open Banking
arXiv cs.DC (Distributed)
arXiv:2610.30055v2 Announce Type: replace Abstract: This paper presents Making Tax Smart with Open Banking (MTS-OB), a novel DLT-based architecture designed to integrate real-time VAT compliance into the existing payment system through…
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On the Expressiveness of Asynchronous Processes with Nested Session Types
arXiv cs.DC (Distributed)
arXiv:2610.32558v1 Announce Type: cross Abstract: Session types are a type-based approach to correct message-passing programs, where types specify protocols for channels and type checking guarantees communication correctness. Traditional…
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SAKURA: Serving Attention Key-Value State Under Rate Adaptation for Private Image Editing on Phones
arXiv cs.DC (Distributed)
arXiv:2610.29733v1 Announce Type: cross Abstract: Diffusion transformers are widely used in image-editing services. To preserve both efficiency and privacy, existing systems commonly rely on cloud-device collaboration. Keeping…
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Scaling Graph Query Processing: Focused Exploration on Partitions Using Load Balancing
arXiv cs.DC (Distributed)
arXiv:2610.32015v1 Announce Type: cross Abstract: The focus of this paper is on query processing and not search (approximate or exact). The goal is to find all or k answers and the expressiveness of a query (as opposed to a search…
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MetaDB: Putting File-System Structure Back into Distributed Databases
arXiv cs.DC (Distributed)
arXiv:2610.32247v1 Announce Type: cross Abstract: Storage systems in production increasingly rely on distributed databases for metadata management, yet our experience at Baidu shows that treating a general-purpose database as a black box…
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Turing-like tests for language and vision demonstrate a narrowing gap between humans and AI
Nature Technology