Imagen de Portada

Scalable Decentralized Algorithms for Online Personalized Mean Estimation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Galante, Franco, Neglia, Giovanni, Leonardi, Emilio
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
por: Rodio, Angelo, et al.
Publicado: (2025)

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
por: Guo, Shunxin, et al.
Publicado: (2025)

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
por: Rangwala, Murtaza, et al.
Publicado: (2025)

Dropout-Robust Mechanisms for Differentially Private and Fully Decentralized Mean Estimation
por: Sabater, César, et al.
Publicado: (2025)

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
por: Zehtabi, Shahryar, et al.
Publicado: (2024)

Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
por: Kaplan, Caelin, et al.
Publicado: (2024)

Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
por: Srivastava, Ashish, et al.
Publicado: (2024)

Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
por: Mishra, Animesh
Publicado: (2025)

Decentralized Learning Made Easy with DecentralizePy
por: Dhasade, Akash, et al.
Publicado: (2023)

FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
por: Huang, Jianjun, et al.
Publicado: (2024)

Fair Decentralized Learning
por: Biswas, Sayan, et al.
Publicado: (2024)

Trust-free Personalized Decentralized Learning
por: Li, Yawen, et al.
Publicado: (2024)

Convergence Analysis of Decentralized ASGD
por: Tosi, Mauro DL, et al.
Publicado: (2023)

Decentralized Directed Collaboration for Personalized Federated Learning
por: Liu, Yingqi, et al.
Publicado: (2024)

Low-Communication Resilient Distributed Estimation Algorithm Based on Memory Mechanism
por: Li, Wei, et al.
Publicado: (2025)

Low-Cost Privacy-Preserving Decentralized Learning
por: Biswas, Sayan, et al.
Publicado: (2024)

Get More for Less in Decentralized Learning Systems
por: Dhasade, Akash, et al.
Publicado: (2023)

Decentralized Personalized Federated Learning for Min-Max Problems
por: Borodich, Ekaterina, et al.
Publicado: (2021)

Robust Decentralized Learning with Local Updates and Gradient Tracking
por: Ghiasvand, Sajjad, et al.
Publicado: (2024)

Energy-Aware Decentralized Learning with Intermittent Model Training
por: Dhasade, Akash, et al.
Publicado: (2024)

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem
por: Long, Alexander
Publicado: (2024)

Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
por: Aketi, Sai Aparna, et al.
Publicado: (2024)

Decentralized Federated Learning with Model Caching on Mobile Agents
por: Wang, Xiaoyu, et al.
Publicado: (2024)

Key-Embedded Privacy for Decentralized AI in Biomedical Omics
por: Zhang, Rongyu, et al.
Publicado: (2026)

Vanishing Variance Problem in Fully Decentralized Neural-Network Systems
por: Tian, Yongding, et al.
Publicado: (2024)

DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates
por: Gholami, Peyman, et al.
Publicado: (2023)

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
por: Xiong, Guojun, et al.
Publicado: (2023)

Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
por: Cox, Bart, et al.
Publicado: (2026)

Personalized Federated Learning via Stacking
por: Cantu-Cervini, Emilio
Publicado: (2024)

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

A Single-Loop Algorithm for Decentralized Bilevel Optimization
por: Dong, Youran, et al.
Publicado: (2023)

Fast Decentralized Gradient Tracking for Federated Minimax Optimization with Local Updates
por: Li, Chris Junchi
Publicado: (2024)

Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature
por: Yang, Ruikai, et al.
Publicado: (2024)

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
por: Sánchez, Pedro Miguel Sánchez, et al.
Publicado: (2025)

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
por: Pan, Qiying, et al.
Publicado: (2023)

Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models
por: Blagoev, Nikolay, et al.
Publicado: (2025)

A Survey on Decentralized Federated Learning
por: Gabrielli, Edoardo, et al.
Publicado: (2023)

ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs
por: Parikh, Dhruv, et al.
Publicado: (2025)

Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
por: Zehtabi, Shahryar, et al.
Publicado: (2022)

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
por: Chen, Canyi, et al.
Publicado: (2025)