tanto

IIRC SpaceMobile showed direct-to-cell satellite communication recently with 5g. Still to be seen if they or someone else (SpaceX?) can make it work large scale.

They should have asked Musk to send it space. It would have been beautiful to think ten more Pratchett novels are circling Earth for potentially thousands of years. He was a great author.

Hey wjnc, You can think of it how you can use GitLab on gitlab.com or deploy it yourself on-prem. The only difference being instead of per user we would charge per deployment. As in case of GitLab you can decide to host it yourself.

Absolutely, there are many cases where governments and generally large organisations can use Flower to internally train models on internal data silos. Often enough large organisations have all the incentives to utilize their own data but can't centralize it due to regulations.

Hi guites, Thank you! That is undoubtedly something relatable. We have it on the screen and plan to provide helpful material and presentations helping to convince stakeholders. If you are up for a call to share the specific challenges, we could ideate with you.

Really happy to hear that and your support is much appreciated! I saw you answering many questions before we could do so :) Thank you for that. We are reaching out to all contributor. Let me know in Slack if you are up to a short call to understand better how we can support you.

Thank you! We'll make sure to improve the readme and add more explanation to it.

Amazing! When I bought my last car, I ensured there were physical buttons for everything I regularly use. While driving, most things happen without much thinking, and touch screens feel like the antithesis of that idea. I recently had to drive a car with a touch screen for, e.g. AC and radio control. I failed miserably to turn off the radio for 3 hours on the highway. I usually expect these things to be intuitive enough to do without reading the manual of a car.

I 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.

The naming might be flawed but it's like a batista I guess. You can spend a lot of money on the machine but without an expert to use it you will not get the best out of it.

Fast.ai states on its website: "Being cool is about being exclusive, and that's the opposite of what we want. We want to make deep learning as accessible as possible." We appreciate this goal as we are making federated learning accessible for everyone. In this blog post, we share how to use fastai with Flower.

I was an early paying Kagi user but started using !g more and more over the last few month. I am not sure what they changed. Recently I decided to switch my default search back to Google as basically in 90% of all search queries I found the result I searched for on Google instead of Kagi.

We just released Flower 1.2

We would like to give our special thanks to all the contributors who made the new version of Flower possible (in git shortlog order): Adam Narozniak, Charles Beauville, Edoardo, L. Jiang, Ragy, dannymcy

The new release is packed with improvements and new features: new Flower Baseline (FedAvg MNIST), improved GPU support in simulations, improved GPU support in Jupyter Notebook tutorials, optional telemetry, new (experimental) Driver API, new Federated Analytics with Pandas example, new strategies (Krum and MultiKrum), updated C++ example, a huge list of general improvements, and updated documentation. And of course: no incompatible changes

For more information, be sure to check our new blog post: https://flower.dev/blog/2023-01-13-announcing-flower-1.2

I think you are right! Apparently I was misreading. Still a lot unnecessary waste one might say.

Together, the Turkmenistan sources release an estimated 111,000 pounds of methane gas per hour

If this is happening all the time, then the number of global methane emissions due to human activity on this (https://en.wikipedia.org/wiki/Methane_emissions) Wikipedia page can't be valid.

Crazy how human negligence and greed might end humanity.

I can imagine 100 ways to do it better apart from the fact that their are 100 better solutions which they could use without developing it themselves. It feels like a year 2000 solution.

I am struggling hard to book Microsoft 365 as I need Powerpoint for a single occasion and get reminded on every corner why I switched to Google + Apple a long time back.

Waiting lists in chats? Seriously? I am not supposed to loose focus of the chat window? Holy cow.

Funny thing is German even more: You can spend the 25k as soon as the company is established for Hardware.

Yea right, so is the German oil for Germany. /s

You seem to be quite the expert on Norway. Can you elaborate how they prop up social services with oil money?

Years ago I loved mandrill. After they got acquired by Mailchimp it became toast. The user experience went downhill and wasn't comparable to products like Postmark at all. I fear Postmark will go down the same road now. Many great products unfortunately become quite bad after acquisitions. I hope ActiveCampaign is a better new owner than most.

Is this worse than what citadel did? How is that going? Anyone in prison yet? /s

We will discover some new "dark quantum thingy" energy source which some scientist will want to use to create super cheap energy. Unfortunately because of the third world war someone will first build a bomb. Handheld sized enough to destroy any major city. Someone will than say: I have become death... and after we have destroyed half of the world we will rise from the ashes and fly to the stars. Afterwards we create an organization called The Federation!

Now the docs should look nice on mobile!

Yes indeed. Using federated learning with Flower makes training over multiple disconnected partitions possible. Additionally there are privacy enhancing techniques such as differential privacy but they come with a cost and are not always nesesecary.

You can train models over multiple silos, devices, users and many other kind of partitioning where for some reason you can't aggregate the dataset centrally.

Thank you for the feedback! We are working on it. Just relaunched the website and docs are going to be updated soon.

To quote from Wikipedia:

``` Federated learning (also known as collaborative learning) is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them. ```

basically you can train ML models collaboratively without ever seeing the other datasets. One example would be multiple hospitals training models to detect breast cancer without the need to exchange the data samples.

Another example is how Google trains models for the keyboard on Android. See here: https://ai.googleblog.com/2017/04/federated-learning-collabo...

The next economic collapse might come when the whole crypo mania ends. Until than I guess we will reach far more energy usage. This will not be sustainable. If it continues we might solve the fermi paradox.

In most cases your tax consultant does that for you and what they charge is regulated.

4th biggest GDP in the world with one of the most cost effective education. 80 Million population. They might do something right.

Government lends you up to ~880€ a month interest free if your parents earn less than 35k€ and gradually less until 75k€ parent household income. After university you have 5 years time until loan payments starts. Total payback is capped at 10k even if you have received more than that. If you can pay it back in full with one payment you only pay ~7.3k.

With that money people are usually able to get an apartment or at least a room in a shared apartment and pay for food and books.