Advances and Open Problems in Federated Learning - 代码天地

Advances and Open Problems in Federated Learning

其他 2019-12-18 19:34:11 阅读次数: 0

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转载自www.cnblogs.com/lucifer1997/p/12061562.html

Advances and Open Problems in Federated Learning

联邦学习（Federated Learning）

Federated Learning 联邦学习

【GNN】Recent Advances in Reliable Deep Graph Learning

Federated Learning 分类 Federated Machine Learning: Concept and Applications 笔记

Federated Machine Learning: Concept and Applications

Reliable Federated Learning for Mobile Networks

联邦学习（Federated Learning）介绍

【翻译】How to Backdoor Federated Learning

Fair Resource Allocation in 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

Federated Learning发展前景探讨

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

PaddleFL Paddle联邦学习(Paddle Federated Learning)

论文阅读-SecureBoost: A Lossless Federated Learning Framework

Integration of Blockchain and Federated Learning for Internet of Things

Blockchain and Federated Learning for Privacy-Preserved总结

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning学习

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

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