BriefGPT.xyz
May, 2023
Flame 简化联邦学习操作
Federated Learning Operations Made Simple with Flame
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Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee...
TL;DR
使用拓扑抽象图标识分布式机器学习应用，可避免部署细节差异带来的复杂性，提高系统自动化和优化效率，Flame 是第一个支持该抽象的系统。
Abstract
distributed machine learning
approaches, including a broad class of
federated learning
techniques, present a number of benefits when deploying machine learning applications over widely distributed infrastructures
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