惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
SegmentFault 最新的问题
J
Java Code Geeks
V
V2EX
Blog — PlanetScale
Blog — PlanetScale
博客园 - 司徒正美
Hugging Face - Blog
Hugging Face - Blog
F
Fortinet All Blogs
aimingoo的专栏
aimingoo的专栏
B
Blog
A
About on SuperTechFans
有赞技术团队
有赞技术团队
月光博客
月光博客
Microsoft Azure Blog
Microsoft Azure Blog
阮一峰的网络日志
阮一峰的网络日志
腾讯CDC
美团技术团队
大猫的无限游戏
大猫的无限游戏
爱范儿
爱范儿
N
Netflix TechBlog - Medium
C
Check Point Blog
Recent Announcements
Recent Announcements
博客园 - Franky
博客园 - 叶小钗
T
Tailwind CSS Blog

cs.DC updates on arXiv.org

DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models Efficient, VRAM-Constrained xLM Inference on Clients Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions PolyKV: A Shared Asymmetrically-Compressed KV Cache Pool for Multi-Agent LLM Inference A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring Latency and Cost of Multi-Agent Intelligent Tutoring at Scale TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning Usable Agent Discovery for Decentralized AI Systems Cloud to Edge: Benchmarking LLM Inference On Hardware-Accelerated Single-Board Computers Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning Promoting Simple Agents: Ensemble Methods for Event-Log Prediction GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA AGNT2: Autonomous Agent Economies on Interaction-Optimized Layer 2 Infrastructure FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels Stream-CQSA: Avoiding Out-of-Memory in Attention Computation via Flexible Workload Scheduling A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing Federated Learning over Blockchain-Enabled Cloud Infrastructure Optimal Routing for Federated Learning over Dynamic Satellite Networks: Tractable or Not? Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers
Proceedings Third Workshop on Membrane Computing and Biol...
Gabriel Ciobanu · 2009-12-01 · via cs.DC updates on arXiv.org

This volume contains the accepted papers at the third Workshop on Membrane Computing and Biologically Inspired Process Calculi, held in Bologna on 5th September 2009. The papers are devoted to both membrane computing and biologically inspired process calculi, as well as to other related formalisms. The papers of this volume are selected by the programme committee due to their quality and relevance; they have defined an exciting programme highlighting interesting problems and stimulating the search for novel ways of describing related biological phenomena. In addition, we had an invited talk given by Luca Cardelli on a spatial process algebra for developmental biology. Membrane systems were introduced as a class of distributed parallel computing devices inspired by the observation that any biological system is a complex hierarchical structure, with a flow of materials and information that underlies their functioning. The emphasis is on the computational properties of the model, and it makes use of automata, languages, and complexity theoretic tools. On the other hand, certain calculi such as mobile ambients and brane calculi work with similar notions (compartments, membranes). These calculi are used to model and analyze the various biological systems. The workshop on Membrane Computing and Biologically Inspired Process Calculi brings together researchers working in these fields to present their recent work and discuss new ideas concerning the formalisms, their properties and relationships.