Federated Learning发展前景探讨 - 代码天地

Federated Learning发展前景探讨

其他 2020-03-25 06:34:14 阅读次数: 0

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转载自www.cnblogs.com/pdev/p/12563611.html

Federated Learning发展前景探讨

联邦学习（Federated Learning）

Federated Learning 联邦学习

Federated Learning 分类 Federated Machine Learning: Concept and Applications 笔记

Federated Machine Learning: Concept and Applications

Reliable Federated Learning for Mobile Networks

Advances and Open Problems in Federated Learning

联邦学习（Federated Learning）介绍

Fair Resource Allocation in Federated Learning

【翻译】How to Backdoor Federated Learning

联邦学习 Federated Learning 相关资料整理

Federated Learning: Challenges, Methods, and Future Directions

(ICASSP 19)Federated Learning for Keyword Spotting

联邦机器学习 Federated Machine Learning

联邦学习（Federated Learning）白皮书

Decentralized Federated Learning: A Segmented Gossip Approach

FetchSGD: Communication-Efficient Federated Learning with Sketching

A Hybrid Approach to Privacy-Preserving Federated Learning

VAFL: a Method of Vertical Asynchronous Federated Learning

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

论文阅读-SecureBoost: A Lossless Federated Learning Framework

PaddleFL Paddle联邦学习(Paddle Federated Learning)

Blockchain and Federated Learning for Privacy-Preserved总结

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning学习

Integration of Blockchain and Federated Learning for Internet of Things

MASKCRYPT: Federated Learning with Selective Homomorphic Encryption

图联邦学习（Federated Graph Learning）

【译】Federated Learning: Bringing Machine Learning to the edge with Kotlin and Android

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

联邦学习论文阅读 Federated Online Learning to Rank with Evolution Strategies

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