Scaling Decentralized Learning with FLock
Fuente:
arXiv
Guardado en:
| Autores principales: | Cheng, Zehua, Sun, Rui, Sun, Jiahao, Guo, Yike |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
AIArena: A Blockchain-Based Decentralized AI Training Platform
por: Wang, Zhipeng, et al.
Publicado: (2024)
por: Wang, Zhipeng, et al.
Publicado: (2024)
DFML: Decentralized Federated Mutual Learning
por: Khalil, Yasser H., et al.
Publicado: (2024)
por: Khalil, Yasser H., et al.
Publicado: (2024)
Trust-free Personalized Decentralized Learning
por: Li, Yawen, et al.
Publicado: (2024)
por: Li, Yawen, et al.
Publicado: (2024)
Topology-Aware Knowledge Propagation in Decentralized Learning
por: Sakarvadia, Mansi, et al.
Publicado: (2025)
por: Sakarvadia, Mansi, et al.
Publicado: (2025)
Impact of network topology on the performance of Decentralized Federated Learning
por: Palmieri, Luigi, et al.
Publicado: (2024)
por: Palmieri, Luigi, et al.
Publicado: (2024)
Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning
por: Stępka, Ignacy, et al.
Publicado: (2025)
por: Stępka, Ignacy, et al.
Publicado: (2025)
\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
por: Nodehi, Hanzaleh Akbari, et al.
Publicado: (2026)
por: Nodehi, Hanzaleh Akbari, et al.
Publicado: (2026)
Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions
por: Wu, Wentai, et al.
Publicado: (2025)
por: Wu, Wentai, et al.
Publicado: (2025)
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning
por: Park, Sanghyeon, et al.
Publicado: (2025)
por: Park, Sanghyeon, et al.
Publicado: (2025)
Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks
por: Pfeffer, Joel, et al.
Publicado: (2025)
por: Pfeffer, Joel, et al.
Publicado: (2025)
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
por: Yang, Yuzhe, et al.
Publicado: (2024)
por: Yang, Yuzhe, et al.
Publicado: (2024)
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
por: Hu, Gangqiang, et al.
Publicado: (2024)
por: Hu, Gangqiang, et al.
Publicado: (2024)
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
por: Liu, Xinyang, et al.
Publicado: (2024)
por: Liu, Xinyang, et al.
Publicado: (2024)
A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
por: Chen, Minghui, et al.
Publicado: (2025)
por: Chen, Minghui, et al.
Publicado: (2025)
Synera: Synergistic LLM Serving across Device and Cloud at Scale
por: Wang, Genglin, et al.
Publicado: (2025)
por: Wang, Genglin, et al.
Publicado: (2025)
DecHW: Heterogeneous Decentralized Federated Learning Exploiting Second-Order Information
por: Ahmad, Adnan, et al.
Publicado: (2026)
por: Ahmad, Adnan, et al.
Publicado: (2026)
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
por: Li, Qiongxiu, et al.
Publicado: (2025)
por: Li, Qiongxiu, et al.
Publicado: (2025)
Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis
por: Sun, Yuze, et al.
Publicado: (2025)
por: Sun, Yuze, et al.
Publicado: (2025)
Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices
por: Menon, Anirudh Rajiv, et al.
Publicado: (2024)
por: Menon, Anirudh Rajiv, et al.
Publicado: (2024)
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
por: Rodio, Angelo, et al.
Publicado: (2025)
por: Rodio, Angelo, et al.
Publicado: (2025)
Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems
por: Guo, Binquan, et al.
Publicado: (2025)
por: Guo, Binquan, et al.
Publicado: (2025)
Learn How to Query from Unlabeled Data Streams in Federated Learning
por: Sun, Yuchang, et al.
Publicado: (2024)
por: Sun, Yuchang, et al.
Publicado: (2024)
The Built-In Robustness of Decentralized Federated Averaging to Bad Data
por: Sabella, Samuele, et al.
Publicado: (2025)
por: Sabella, Samuele, et al.
Publicado: (2025)
Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments
por: Sun, Pengcheng, et al.
Publicado: (2024)
por: Sun, Pengcheng, et al.
Publicado: (2024)
Full Scaling Automation for Sustainable Development of Green Data Centers
por: Wang, Shiyu, et al.
Publicado: (2023)
por: Wang, Shiyu, et al.
Publicado: (2023)
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
por: Liu, Jing, et al.
Publicado: (2025)
por: Liu, Jing, et al.
Publicado: (2025)
RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference
por: Wang, Jiarui, et al.
Publicado: (2026)
por: Wang, Jiarui, et al.
Publicado: (2026)
On the Fragility of Data Attribution When Learning Is Distributed
por: Gao, Xian, et al.
Publicado: (2026)
por: Gao, Xian, et al.
Publicado: (2026)
Guard: Scalable Straggler Detection and Node Health Management for Large-Scale Training
por: Liu, Guanliang, et al.
Publicado: (2026)
por: Liu, Guanliang, et al.
Publicado: (2026)
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks
por: Chen, Tan, et al.
Publicado: (2024)
por: Chen, Tan, et al.
Publicado: (2024)
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
por: Sun, Tingyang, et al.
Publicado: (2025)
por: Sun, Tingyang, et al.
Publicado: (2025)
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning
por: Chen, Tan, et al.
Publicado: (2025)
por: Chen, Tan, et al.
Publicado: (2025)
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
por: Li, Xiaoya, et al.
Publicado: (2025)
por: Li, Xiaoya, et al.
Publicado: (2025)
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression
por: Tang, Zhenheng, et al.
Publicado: (2024)
por: Tang, Zhenheng, et al.
Publicado: (2024)
Scale-up Unlearnable Examples Learning with High-Performance Computing
por: Zhu, Yanfan, et al.
Publicado: (2025)
por: Zhu, Yanfan, et al.
Publicado: (2025)
Variational Bayes for Federated Continual Learning
por: Yao, Dezhong, et al.
Publicado: (2024)
por: Yao, Dezhong, et al.
Publicado: (2024)
Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster
por: Hurt, J. Alex, et al.
Publicado: (2024)
por: Hurt, J. Alex, et al.
Publicado: (2024)
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
por: Mei, Zhiyu, et al.
Publicado: (2023)
por: Mei, Zhiyu, et al.
Publicado: (2023)
Adaptive Graph Pruning with Sudden-Events Evaluation for Traffic Prediction using Online Semi-Decentralized ST-GNNs
por: Kralj, Ivan, et al.
Publicado: (2025)
por: Kralj, Ivan, et al.
Publicado: (2025)
Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale
por: Fan, Yangxin, et al.
Publicado: (2024)
por: Fan, Yangxin, et al.
Publicado: (2024)
Ejemplares similares
-
AIArena: A Blockchain-Based Decentralized AI Training Platform
por: Wang, Zhipeng, et al.
Publicado: (2024) -
DFML: Decentralized Federated Mutual Learning
por: Khalil, Yasser H., et al.
Publicado: (2024) -
Trust-free Personalized Decentralized Learning
por: Li, Yawen, et al.
Publicado: (2024) -
Topology-Aware Knowledge Propagation in Decentralized Learning
por: Sakarvadia, Mansi, et al.
Publicado: (2025) -
Impact of network topology on the performance of Decentralized Federated Learning
por: Palmieri, Luigi, et al.
Publicado: (2024)