Image de couverture de livre

Autonomous FAIR Digital Objects: From Passive Assertions to Active Knowledge

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Boukhers, Zeyd, Beyan, Oya, Yang, Cong, Lange, Christoph
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Databases Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FDO Manager: Minimum Viable FAIR Digital Object Implementation
par: Zoubia, Oussama, et autres
Publié: (2024)

Data Trading and Monetization: Challenges and Open Research Directions
par: Ramadan, Qusai, et autres
Publié: (2024)

A Planet Scale Spatial-Temporal Knowledge Graph Based On OpenStreetMap And H3 Grid
par: Böckling, Martin, et autres
Publié: (2024)

From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors
par: Glombiewski, Nikolaus, et autres
Publié: (2024)

MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging
par: Wang, Yuanyi, et autres
Publié: (2026)

Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents
par: Sheng, Weiming, et autres
Publié: (2026)

Enabling Secure and Ephemeral AI Workloads in Data Mesh Environments
par: Patel, Chinkit, et autres
Publié: (2025)

DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud
par: Wang, Qinlong, et autres
Publié: (2023)

GetBatch: Distributed Multi-Object Retrieval for ML Data Loading
par: Aizman, Alex, et autres
Publié: (2026)

An Experimental Framework for Implementing Decentralized Autonomous Database Systems in Rust
par: Aryan, Prakash, et autres
Publié: (2024)

OASIS: Object-based Analytics Storage for Intelligent SQL Query Offloading in Scientific Tabular Workloads
par: Hwang, Soon, et autres
Publié: (2025)

Demystifying Object-based Big Data Storage Systems
par: Mondal, Anindita Sarkar, et autres
Publié: (2024)

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows
par: Psarakis, Kyriakos, et autres
Publié: (2021)

Safe and Compliant Cross-Market Trade Execution via Constrained RL and Zero-Knowledge Audits
par: Borjigin, Ailiya, et autres
Publié: (2025)

A Chunked-Object Pattern for Multi-Region Large Payload Storage in Managed NoSQL Databases
par: Chinthareddy, Manideep Reddy
Publié: (2025)

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
par: Zhai, Yijun, et autres
Publié: (2024)

The Time is Here for Just-in-Time Systems: Challenges and Opportunities
par: Liu, Shu, et autres
Publié: (2026)

AI-Based Crypto Tokens: The Illusion of Decentralized AI?
par: Mafrur, Rischan
Publié: (2025)

On-device Online Learning and Semantic Management of TinyML Systems
par: Ren, Haoyu, et autres
Publié: (2024)

Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
par: Kandogan, Eser, et autres
Publié: (2025)

Eco-Friendly AI: Unleashing Data Power for Green Federated Learning
par: Sabella, Mattia, et autres
Publié: (2025)

Modyn: Data-Centric Machine Learning Pipeline Orchestration
par: Böther, Maximilian, et autres
Publié: (2023)

AI for Distributed Systems Design: Scalable Cloud Optimization Through Repeated LLMs Sampling And Simulators
par: Tagliabue, Jacopo
Publié: (2025)

A Unified Ontology for Scalable Knowledge Graph-Driven Operational Data Analytics in High-Performance Computing Systems
par: Khan, Junaid Ahmed, et autres
Publié: (2025)

Next Generation Cloud-native In-Memory Stores: From Redis to Valkey and Beyond
par: Rosensch"old, Carl-Johan Fauvelle Munck af, et autres
Publié: (2025)

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
par: Zhang, Jianqing, et autres
Publié: (2024)

A Case Study on Virtual and Physical I/O Throughputs
par: Mirzoev, T., et autres
Publié: (2025)

Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems
par: Han, Yuxing, et autres
Publié: (2025)

ZipLLM: Efficient LLM Storage via Model-Aware Synergistic Data Deduplication and Compression
par: Wang, Zirui, et autres
Publié: (2025)

SwitchDelta: Asynchronous Metadata Updating for Distributed Storage with In-Network Data Visibility
par: Li, Junru, et autres
Publié: (2025)

LatentBox: Storing AI-Generated Images at Scale via a Latent-First Design
par: Wang, Zirui, et autres
Publié: (2026)

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence
par: Chen, Xinquan, et autres
Publié: (2026)

Embedding Samples Dispatching for Recommendation Model Training in Edge Environments
par: Li, Guopeng, et autres
Publié: (2025)

PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases
par: Hu, Qingda, et autres
Publié: (2025)

Health+: Empowering Individuals via Unifying Health Data
par: Maiyya, Sujaya, et autres
Publié: (2026)

Flash-Fusion: Enabling Expressive, Low-Latency Queries on IoT Sensor Streams with LLMs
par: Patherya, Kausar, et autres
Publié: (2025)

A Generative Caching System for Large Language Models
par: Iyengar, Arun, et autres
Publié: (2025)

TierBase: A Workload-Driven Cost-Optimized Key-Value Store
par: Shen, Zhitao, et autres
Publié: (2025)

Learning Provably Correct Distributed Protocols Without Human Knowledge
par: Hui, Yujie, et autres
Publié: (2026)

Auditable Shared Objects: From Registers to Synchronization Primitives
par: Attiya, Hagit, et autres
Publié: (2025)