Cover Image

On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Tongtian, Zhang, Tianyu, Wang, Mingze, Zhou, Zhanpeng, Wang, Can
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DICE: Data Influence Cascade in Decentralized Learning
by: Zhu, Tongtian, et al.
Published: (2025)

SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
by: Choudhary, Sakshi, et al.
Published: (2024)

Optimizing Decentralized Online Learning for Supervised Regression and Classification Problems
by: Kruijssen, J. M. Diederik, et al.
Published: (2025)

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

Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks
by: Yahya, Mariam, et al.
Published: (2024)

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

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

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

Merit-Based Sortition in Decentralized Systems
by: Kruijssen, J. M. Diederik, et al.
Published: (2024)

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

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

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

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

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

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

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
by: Niu, Chaoyue, et al.
Published: (2025)

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

CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
by: Huang, Kun, et al.
Published: (2023)

Quantized Decentralized Stochastic Learning over Directed Graphs
by: Taheri, Hossein, et al.
Published: (2020)

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

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

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

On Collaboration in Distributed Parameter Estimation with Resource Constraints
by: Chen, Yu-Zhen Janice, et al.
Published: (2023)

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

MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems
by: Wang, Yifei, et al.
Published: (2026)

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)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
by: Li, Qingbiao, et al.
Published: (2020)

Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
by: Esmaeili, Ahmad, et al.
Published: (2023)

Distributed Fractional Bayesian Learning for Adaptive Optimization
by: Yang, Yaqun, et al.
Published: (2024)

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

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

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

Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
by: Yuan, Liangqi, et al.
Published: (2026)

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

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
by: Mhanna, Elissa, et al.
Published: (2024)

Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning
by: Wang, Wenhua, et al.
Published: (2024)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
by: Song, Zhuoqing, et al.
Published: (2021)

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

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