Copertina

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ye, Rui, Ge, Rui, Zhu, Xinyu, Chai, Jingyi, Du, Yaxin, Liu, Yang, Wang, Yanfeng, Chen, Siheng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Distributed, Parallel, and Cluster Computing Machine Learning Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
di: Ye, Rui, et al.
Pubblicazione: (2024)

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models
di: Wu, Huiwen, et al.
Pubblicazione: (2024)

Single-Loop Federated Actor-Critic across Heterogeneous Environments
di: Zhu, Ye, et al.
Pubblicazione: (2024)

Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
di: Song, Kevin, et al.
Pubblicazione: (2025)

Empowering Scientific Workflows with Federated Agents
di: Kamatar, Alok, et al.
Pubblicazione: (2025)

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
di: Pan, Zaifeng, et al.
Pubblicazione: (2025)

Responsible Federated LLMs via Safety Filtering and Constitutional AI
di: Noh, Eunchung, et al.
Pubblicazione: (2025)

Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
di: Wang, Zezhou, et al.
Pubblicazione: (2024)

Enhancing Data Quality in Federated Fine-Tuning of Foundation Models
di: Zhao, Wanru, et al.
Pubblicazione: (2024)

FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents
di: Saha, Pramit, et al.
Pubblicazione: (2025)

Distributed Set-membership Filtering Frameworks For Multi-agent Systems With Absolute and Relative Measurements
di: Ding, Yu, et al.
Pubblicazione: (2023)

Agentic Fog: A Policy-driven Framework for Distributed Intelligence in Fog Computing
di: Akbar, Saeed, et al.
Pubblicazione: (2026)

Ledger-State Stigmergy: A Formal Framework for Indirect Coordination Grounded in Distributed Ledger State
di: García, Fernando Paredes
Pubblicazione: (2026)

When Computing follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum
di: Nezami, Zeinab, et al.
Pubblicazione: (2024)

When Agents Control Robots: A Zero Trust Policy Model for Agentic Cyber-Physical Systems
di: Ranathunga, Tharindu, et al.
Pubblicazione: (2026)

Software-Defined Agentic Serving
di: Agarwal, Saurabh, et al.
Pubblicazione: (2026)

DejaVu: A Minimalistic Mechanism for Distributed Plurality Consensus
di: d'Amore, Francesco, et al.
Pubblicazione: (2026)

On the Limits of Information Spread by Memory-less Agents
di: D'Archivio, Niccolò, et al.
Pubblicazione: (2024)

Perpetual exploration in anonymous synchronous networks with a Byzantine black hole
di: Bhattacharya, Adri, et al.
Pubblicazione: (2025)

Near-linear Time Dispersion of Mobile Agents
di: Sudo, Yuichi, et al.
Pubblicazione: (2023)

Acceleration of Gossip Algorithms through the Euler-Poisson-Darboux Equation
di: Berthier, Raphaël, et al.
Pubblicazione: (2022)

Nalar: An agent serving framework
di: Laju, Marco, et al.
Pubblicazione: (2026)

On the $h$-majority dynamics with many opinions
di: d'Amore, Francesco, et al.
Pubblicazione: (2025)

UFO3: Weaving the Digital Agent Galaxy
di: Zhang, Chaoyun, et al.
Pubblicazione: (2025)

On a Voter Model with Context-Dependent Opinion Adoption
di: Becchetti, Luca, et al.
Pubblicazione: (2023)

When Coordination Is Avoidable: A Monotonicity Analysis of Organizational Tasks
di: Ju, Harang
Pubblicazione: (2026)

Cooperative Solutions to Exploration Tasks Under Speed and Budget Constraints
di: Karishma, et al.
Pubblicazione: (2022)

Asymptotic analysis of cooperative censoring policies in sensor networks
di: Fernandez-Bes, Jesus, et al.
Pubblicazione: (2025)

Distributed Butterfly Analysis using Mobile Agents
di: Chand, Prabhat Kumar, et al.
Pubblicazione: (2025)

Agent-Based Triangle Counting: Unlocking Truss Decomposition, Triangle Centrality, and Local Clustering Coefficient
di: Chand, Prabhat Kumar, et al.
Pubblicazione: (2024)

Computing Tree Structures in Anonymous Graphs via Mobile Agents
di: Chand, Prabhat Kumar, et al.
Pubblicazione: (2025)

A Framework for Hybrid Collective Inference in Distributed Sensor Networks
di: Nash, Andrew, et al.
Pubblicazione: (2026)

Decoupling Correctness from Policy: A Deterministic Causal Structure for Multi-Agent Systems
di: Ren, Zhiyuan, et al.
Pubblicazione: (2025)

LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
di: Ji, Haichao, et al.
Pubblicazione: (2025)

Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models
di: Gu, Yile, et al.
Pubblicazione: (2025)

Compressed Federated Reinforcement Learning with a Generative Model
di: Beikmohammadi, Ali, et al.
Pubblicazione: (2024)

Pythia: Exploiting Workflow Predictability for Efficient Agent-Native LLM Serving
di: Yu, Shan, et al.
Pubblicazione: (2026)

BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
di: Lackinger, Anna, et al.
Pubblicazione: (2025)

MemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments
di: Liu, Guangyi, et al.
Pubblicazione: (2026)

SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
di: Heydaribeni, Nasimeh, et al.
Pubblicazione: (2023)