:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Esmaeili, Ahmad, Ghorrati, Zahra, Matson, Eric T.
Format:	Preprint
Published:	2023
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning Multiagent Systems
Online Access:	https://arxiv.org/abs/2401.10839
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning
by: Ebrahim, Maad, et al.
Published: (2024)

AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution
by: Xie, Zhiqiang, et al.
Published: (2024)

Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
by: Mohammadabadi, Seyed Mahmoud Sajjadi, et al.
Published: (2024)

Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents
by: Sarkar, Aishwarya, et al.
Published: (2026)

Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge
by: Li, Songyuan, et al.
Published: (2025)

ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
by: Zhu, Zheqi, et al.
Published: (2022)

Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
by: Uddin, Ashab, et al.
Published: (2025)

S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
by: Khan, Sajjad
Published: (2026)

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
by: Younesi, Abolfazl, et al.
Published: (2025)

PANAMA: A Network-Aware MARL Framework for Multi-Agent Path Finding in Digital Twin Ecosystems
by: Dogru, Arman, et al.
Published: (2025)

Sustainability of Data Center Digital Twins with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)

AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines
by: Younesi, Abolfazl, et al.
Published: (2025)

A Unified Framework for Center-based Clustering of Distributed Data
by: Armacki, Aleksandar, et al.
Published: (2024)

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
by: Liu, Shuo, et al.
Published: (2026)

Asynchronous Local Computations in Distributed Bayesian Learning
by: Bhar, Kinjal, et al.
Published: (2023)

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs
by: Kang, Hao, et al.
Published: (2025)

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
by: Jordan, Philip, et al.
Published: (2024)

Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows
by: Mohammadi, Bardia, et al.
Published: (2026)

Ensuring Fair LLM Serving Amid Diverse Applications
by: Khan, Redwan Ibne Seraj, et al.
Published: (2024)

DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems
by: Yu, Junwei, et al.
Published: (2025)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
by: Dong, Yi, et al.
Published: (2024)

Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
by: Tian, Zhuojun, et al.
Published: (2025)

Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
by: Hanna, Osama A., et al.
Published: (2023)

Edge Computing based Human-Robot Cognitive Fusion: A Medical Case Study in the Autism Spectrum Disorder Therapy
by: Yang, Qin
Published: (2024)

HEnRY: A Multi-Agent System Framework for Multi-Domain Contexts
by: Lacavalla, Emmanuele, et al.
Published: (2024)

Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
by: Singh, Samaresh Kumar, et al.
Published: (2025)

AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling
by: Hamzeh, Hamed
Published: (2026)

Warp-Cortex: An Asynchronous, Memory-Efficient Architecture for Million-Agent Cognitive Scaling on Consumer Hardware
by: Williams, Jorge L. Ruiz
Published: (2026)

Multitask Learning with Learned Task Relationships
by: Wan, Zirui, et al.
Published: (2025)

OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
by: Bhattacharjee, Arijit, et al.
Published: (2026)

Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments
by: Hussaini, Mortesa, et al.
Published: (2025)

Multi-Agent eXperimenter (MAX)
by: Gürcan, Önder
Published: (2024)

Usable Agent Discovery for Decentralized AI Systems
by: Dazzi, Patrizio, et al.
Published: (2026)

Distributed Online Rollout for Multivehicle Routing in Unmapped Environments
by: Weber, Jamison W., et al.
Published: (2023)

Towards Enterprise-Ready Computer Using Generalist Agent
by: Marreed, Sami, et al.
Published: (2025)

APWA: A Distributed Architecture for Parallelizable Agentic Workflows
by: Rose, Evan, et al.
Published: (2026)

PBFT-Backed Semantic Voting for Multi-Agent Memory Pruning
by: Bach, Duong
Published: (2025)

Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems
by: Nagaitsev, Kirill, et al.
Published: (2025)

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
by: Jha, Saurabh, et al.
Published: (2025)