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Distributed & Parallel Computing
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507 papers, from 4 September 2026 to 5 November 2026: 507 arXiv preprints.
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Newest papers, page 7
Democratizing LLM Training with the Edge: Challenges, Systems, and the Road Ahead
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.KnitTrans: Coordinated Trajectory Transfer for Effective and Efficient LLM Reinforcement Learning
Trajectory transfer from rollout to training affects both learning quality and system efficiency in large language model reinforcement learning (RL).Data Quality Audit and Bivariate Temperature-Humidity Analysis of a Long-Term LoRaWAN Network: Anomaly Detection, PCA, Clustering and Machine Learning
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 analysis-an…InferSlice: A Reference Architecture for SLO-driven LLM Inference over a Telco Wide-Area Network
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…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).Modeling Liquid-Cooled Data Centers in EnergyPlus
As AI workloads accelerate data center transition toward high-density racks with direct-to-chip (DTC) liquid cooling, existing simulation tools remain limited in evaluating whole-building and…A Deterministic Security Runtime for LLM Agents on MPI and Batch-Scheduled HPC Systems: Consensus-Governed, Hardware-Rooted Supervision of Every Rank
Large language model agents launch simulations on high-performance computing (HPC) systems, where one sbatch or mpirun can commit thousands of node-hours and a forged result can cost lives.Know When to Escalate: Critic-Guided Adaptive Execution for Cloud-Local Embodied Agents
Recent advances in foundation-model agents have enabled increasingly capable embodied systems for long-horizon planning and interaction.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.Almost tight distributed approximation for domination in sparse graph classes
We study distributed approximation of Minimum Dominating Set in a very general class of sparse graphs, extending near-optimal approximation results from the minor-free setting to bounded expansion.Evolving Federated Density Peak Clustering with Shuffler-Based Anonymization
In this paper, we present a novel one-shot federated clustering approach based on evolving fuzzy clustering and shuffler-based anonymization.Pipelining vs. Combining in Aggregation Tasks
We study the aggregation task (convergecast) in networks in the case that the values to be aggregated do not fit in a single message.Procrustes-Bering-Sheaft: Automated Model Discovery and Virtual Crash Tests for Microservices
Procrustes-Bering-Sheaft automates lightweight model discovery and virtual crash tests for microservices.Evaluating the Applicability of LLM Inference Optimizations on Apple Silicon
Apple Silicon is among the most widely used platforms for local LLM inference, yet nearly all inference optimizations are designed and validated on server-class NVIDIA GPUs under batched serving…Not All Retained Clients Are Equal: Client Selection for Federated Unlearning
Federated unlearning (FU) aims to remove a designated target client's influence from a trained model without the prohibitive cost of retraining from scratch.SILMARILS-MV: Information-Theoretically Secure Multi-Verifier Signatures with Dealer-Free Key Issuance and Linear Aggregation for Permissioned Blockchains
Permissioned blockchains authenticate transactions, votes and quorum certificates with computationally secure signatures, and post-quantum replacements inflate consensus traffic by orders of…Correlated Failures of AI Approval Monitors
Before an AI agent takes a consequential action, such as paying, messaging or changing code, several monitors check it.Resuming Vision-Language Inference across Onboard Interruptions
Executing vision-language models (VLMs) aboard low-Earth orbit satellites enables flexible processing of observation data without first downlinking it to the ground.PQ-Vault: Provably Quantum-Safe Asset Custody for Unmodified Ethereum
A quantum computer could recover the key of any Ethereum account whose public key appears on chain.SAKURA: Serving Attention Key-Value State Under Rate Adaptation for Private Image Editing on Phones
Diffusion transformers are widely used in image-editing services.