Top all-time · #11449
Flower: Advance Collaborative Superintelligence
Company blog · flower.dev/blogaiprogramming
Flower: Advance Collaborative Superintelligence is the company blog at flower.dev, writing about ai and programming. Since 2020, 6 different Hacker News readers have linked it 33 times, most often “Flower – A Friendly Federated Learning Framework”. No feed was found, so read it on the site itself.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
Linked in a hiring post, a 'to watch' list and a launch thread. The pages describe Flower, an open-source framework for federated learning on distributed or sensitive data, including its secure aggregation docs. Comments don't judge the writing.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Flower is a full-stack AI neolab with a mission to advance collaborative superintelligence by building open-source frontier models, agents, and infrastructure.
Most-linked posts?
- Flower – A Friendly Federated Learning Framework3 people · 6 mentions · first linked 2020-12-09
- Flower Summit 2021 (The Friendly Federated Learning Framework)3 people · 3 mentions · first linked 2021-04-27
- PyTorch: From Centralized to Federated2 people · 2 mentions · first linked 2021-02-24
What Hacker News says?
Flower - https://flower.dev/ | Multiple Positions | Remote-first, also Germany and UK | Full-time | REMOTE, VISA Flower is an open-source framework, ecosystem and community for training and using AI on distributed data with federated learning, and related decentralized technologies. Companies like Banking Circle, Nokia, Samsung, Capgemini, Porsche, and Brave use Flower to easily improve their AI models on sensitive…
Comment linking /
on “Ask HN: Who is hiring? (January 2024)”Submitted Flower – A Friendly Federated Learning Framework as a story · 78 points
HN discussionhttps://www.xaynet.dev/ - open source federated learning backend in Rust https://flower.dev/ - A Friendly Federated Learning Framework in Python https://jina.ai/ - Neural search engine
Comment linking /
on “Ask HN: What startup/technology is on your 'to watch' list?”Submitted Federated Finetuning of OpenAI's Whisper on Raspberry Pi 5 as a story · 30 points
HN discussionHey! 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. 0: https://flower.dev/blog/2020-12-16-running_federated_learnin...
Comment linking /blog/2020-12-16-running_federated_learning_applications_on_embedded_devices_with_flower?s=hn
on “Flower – A Friendly Federated Learning Framework”Submitted Flower Summit 2021 (The Friendly Federated Learning Framework) as a story · 12 points
HN discussionYes, we have developed modular and efficient secure aggregation and differential privacy solutions that can help people dial in the amount of protection they need. We have documented an early version of the secure aggregation here: https://flower.dev/docs/secagg.html Documentation and updates on both methods will be released soon.
Comment linking /docs/secagg.html
on “Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data”Submitted Contribute to privacy-first ad serving with Brave, Cambridge, and Flower as a story · 9 points
HN discussionI agree that proprietary data will become more valuable. It is, even today, mostly not accessible for AI training and holds so much value. We are working on Flower ( https://flower.dev ), which enables training AI on private data without the data owner having to share it.
Comment linking /
on “PG: We can't all use AI. Someone has to generate the training data”Submitted Raspberry Pi 5: Ready for Federated Vision as a story · 7 points
HN discussionToday we are releasing a long awaited Flower Baseline, Charles Beauville's implementation of the MNIST experiment using FedAvg from McMahan et al.’s pioneering paper! This will kick off the start of a new series, the FL Starter Pack. The idea behind baselines is to provide the community with state-of-the-art examples of how federated learning can be applied. A baseline is just a Flower implementation of an experimen…
Comment linking /blog/2023-01-13-announcing-flower-1.2
on “Flower 1.2”Submitted Federated Learning in less than 20 lines of code as a story · 6 points
HN discussionSubmitted Flower 1.7 (train AI on distributed data) as a story · 5 points
HN discussionSubmitted Flower 1.0 as a story · 5 points
HN discussionSubmitted Show HN: Running Federated Learning Applications on Embedded Devices as a story · 5 points
HN discussionSubmitted Single-Machine Simulation of Federated Learning Systems as a story · 4 points
HN discussionSubmitted What Is Federated Machine Learning? as a story · 3 points
HN discussionSubmitted Flower Summit 2022: Live Stream as a story · 3 points
HN discussionSubmitted Run MXNet Federated with Flower as a story · 3 points
HN discussionSubmitted A unified approach to federated learning as a story · 3 points
HN discussionSubmitted PyTorch: From Centralized to Federated as a story · 3 points
HN discussionSubmitted Flower 1.3 (A Friendly Federated Learning Framework) as a story · 2 points
HN discussionSubmitted Federated Analytics with Flower and Pandas as a story · 2 points
HN discussionSubmitted Flower Summit registration is open as a story · 2 points
HN discussionSubmitted New Flower release for an easy start to federated learning as a story · 2 points
HN discussionSubmitted Flower: A Friendly Federated Learning Framework as a story · 2 points
HN discussionSubmitted Learn how Flower accelerates Federated Learning as a story · 2 points
HN discussionSubmitted Flower: A Friendly Federated Learning Framework as a story · 2 points
HN discussionSubmitted Federated Learning with Fastai and Flower as a story · 1 points
HN discussionSubmitted How to Do Federated Analytics with Pandas as a story · 1 points
HN discussion