Peer-to-peer deep learning with non-IID data-Reference-Cited by-同舟云学术

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Peer-to-peer deep learning with non-IID data

Published:2023-03 Issue: Volume:214 Page:119159
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Šajina Robert^ORCID,Tanković Nikola^ORCID,Ipšić Ivo^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

1. DJAM: Distributed Jacobi asynchronous method for learning personal models;Almeida;IEEE Signal Processing Letters,2018

2. Siloed federated learning for multi-centric histopathology datasets;Andreux,2020

3. Federated learning with personalization layers;Arivazhagan,2019

4. Stochastic gradient push for distributed deep learning;Assran,2019

5. Personalized and private peer-to-peer machine learning;Bellet,2018

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-task peer-to-peer learning using an encoder-only transformer model;Future Generation Computer Systems;2024-03

2. Topologies in distributed machine learning: Comprehensive survey, recommendations and future directions;Neurocomputing;2024-01

3. SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

4. Why Batch Normalization Damage Federated Learning on Non-IID Data?;IEEE Transactions on Neural Networks and Learning Systems;2023

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