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Flower – A Friendly Federated Learning Framework

51 点作者 tanto超过 4 年前

5 条评论

armagon超过 4 年前
What is a &#x27;federated learning framework&#x27;?<p>At first I thought this was something a Leaning Management System like Moodle, maybe one that is distributed sort of like a torrent so it can&#x27;t be taken down.<p>Seeing the example talk about TensorFlow, it must have something to do with machine learning.
评论 #25507516 未加载
techwizrd超过 4 年前
For those interested or confused around federated learning, I suggest skimming the 2019 paper &quot;Advances and Open Problems in Federated Learning&quot; [0]. The introduction is quite good and the table of contents gives a good overview of the current challenges in the field.<p>From the paper, &quot;Federated learning is a machine learning setting where multiple entities (clients) collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client’s raw data is stored locally and not exchanged or transferred; instead, focused updates intended for immediate aggregation are used to achieve the learning objective.&quot;<p>0: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1912.04977" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1912.04977</a>
tanto超过 4 年前
Hey! I am one of the creators of Flower. If you have any questions regarding the framework we are happy to answer any. If you would like to dive a bit deeper and understand whats this about we have a great blog post [0] which gives a short intro into FL and motivates FL on embedded devices with an actual use-case.<p>0: <a href="https:&#x2F;&#x2F;flower.dev&#x2F;blog&#x2F;2020-12-16-running_federated_learning_applications_on_embedded_devices_with_flower?s=hn" rel="nofollow">https:&#x2F;&#x2F;flower.dev&#x2F;blog&#x2F;2020-12-16-running_federated_learnin...</a>
giorgosera超过 4 年前
Hey! Hope someone can help me with this question. How does the data exploration phase look like in a federated learning context? Most of the times (most probably always) before applying any ML algorithm we&#x27;d look at the data and explore it. How can this be done in this case if data is not available to see? Even in the example in the blog post of Flower the dataset is loaded directly without any pre-processing (which is usually the case in real life).
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SamBorick超过 4 年前
When I read &quot;Friendly Federated Learning Framework&quot;, my immediate thought was something where people could gather and organize their personal knowledge, and have the ability to simply reference work that others have already done.<p>It&#x27;s the internet.