Flower @flwrlabs
Flower: A Friendly Federated Learning Framework | https://t.co/rVzbbAoCgF flower.ai Joined January 2023-
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Flower Monthly is today 1600 UTC! 🌼 buff.ly/432pi5K ➡️ @scaleoutsystem and @flwrlabs collaboration -- Viktor Valadi @scaleoutsystem ➡️ Homomorphic Encryption and FL -- @alessio_cat @unimessina ➡️ Decentralized Neural Radiance Fields -- @ZaidTasneem @RiceUniversity
Useful links referenced above.. = @andrewsoltan's paper that details the 🌼Flower NHS deployment: thelancet.com/journals/landi… = 📺YouTube link for the video above: youtu.be/c4NU8XhmCLU?si… = 📽️YouTube playlist for all Flower 🤖AI 2024 talks: youtube.com/playlist?list=… = Flower…
Federated learning will be one of the key technologies that enable 😷medical AI to become mainstream. Flower is working with many leading 🏥medical researchers like @andrewsoltan towards removing barriers to adoption and deployment. Recently, Andrew led a trial of Flower within…
🌼 Surprise Announcement: Flower Monthly May 📆 Along with our existing agenda, Viktor Valadi will join us to discuss our collaboration w/ @scaleout ➕ demo how to run the first set of Flower ClientApps on the FEDn platform. 🕸️ URL: buff.ly/432pi5K 📆 1st May 16:00 UTC
🌼 Flower Monthly April recording is ready! Catch two great speakers: 1️⃣ @PhilippWiesner @TUBerlin buff.ly/442wIX0 2️⃣ @FrancescoPase @newtwen buff.ly/3Un5FTe 📺 Watch the full session: buff.ly/4d52kzm 🚀 Join 🌼Flower today: buff.ly/3YONpTy
🌼 Flower Monthly May 📆 🎙️ Meet our speakers this month: 1️⃣ @alessio_cat PostDoc at @unimessina 2️⃣ @ZaidTasneem PhD student at @RiceUniversity 🕸️ Link to join: buff.ly/432pi5K 📆 Kick-off on 1st May 16:00 UTC 🚀 Join the 🌼 Flower community: buff.ly/3YONpTy
We are delighted to introduce a key 1st step in compatibility b/w Scaleout ➕ Flower! 🚀 A range of 🌼 Flower ClientApps can now run in Scaleout Studio; we are working towards full support soon. Welcome Scaleout to the Flower eco-system! 📕 Blog: buff.ly/49LaSIY
🌸 Join the Flower Team! 🌸 Flower is hiring a Senior Front-end Engineer to work on our react-based website and Flower front-end needs across native devices (via electron or similar). 🤖 Further details and to apply: buff.ly/4aHxgEh #techjobs #react #electron #remote
The age of AI regulation is upon us. We believe #federatedlearning has a large role to play in what comes next. In particular, Flower expects FL will be key in enabling the design and deployment of regulation compliant machine learning systems. To dive into this topic at the…
Great work @dtrihinas! We're happy 🌼Flower was helpful to build on for this research. 👩💻Code to FedBed available here: github.com/UCY-LINC-LAB/F…
Great work @dtrihinas! We're happy 🌼Flower was helpful to build on for this research. 👩💻Code to FedBed available here: github.com/UCY-LINC-LAB/F…
Adam (@adam_naroznik) of Flower Labs, recently spoke at GHOST Day (@ghostdayamic) held @PUT_Poznan. He shared his view about where FL is taking AI next in his talk "#federatedlearning via Lens of Data" 🌟 Nice talk Adam. 😎 🚀Join the Flower community: buff.ly/3YONpTy
🔥 Partitioning in Flower Datasets: Only 3 lines of code! 🚀 Testing a federated solution often requires splitting an existing dataset. 🌼 Flower Datasets makes each step easy: Choose Partitioner → Choose Dataset → Load Partition 🌼 Flower Datasets: buff.ly/3UvDEcp
AI is fundementally changing the 🚗car, and as part of this process increasingly 🤖federated methods are needed to allow car-deployed models to cope with the complexity and constant change of the 🌍real-world. Check out this FS24 talk from Mina Alibeigi of @zenseact (a…
MetaSend is a new way of performing FL comms when training multilingual models. Check out this new work developed using 🌼 Flower by scientists at @PurdueECE. Interesting work by Yun-Wei Chu, Dong-Jun Han and Christopher Brinton 💪 📕 Paper: buff.ly/4azKaEq
🎉 Congrats 🌼 Flower Community: We just hit a major milestone, over 1 MILLION downloads and counting for Flwr and Flwr-Nightly 🚀 🌸✨ Thank you to the thousands of developers and researchers that push Flower forward everyday! 💪 🚀 Join us: buff.ly/3YONpTy 🌼
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It's a delight to work with Flower. Thanks for having me at the 2024 AI summit!
Federated learning will be one of the key technologies that enable 😷medical AI to become mainstream. Flower is working with many leading 🏥medical researchers like @andrewsoltan towards removing barriers to adoption and deployment. Recently, Andrew led a trial of Flower within…
@jafermarq @flwrlabs Does node down time affect the overall training?
With🌼flower.ai's Flower Datasets creating data partitions for #federatedlearning is just too easy. ➡️ pip install flwr-datasets flower.ai/docs/datasets 💡follow @flwrlabs for more!!
When you finally decide to try #federatedlearning and it turns out to be magically simple with 🌼flower.ai
@flwrlabs Thank you for the collaboration Flower team, and welcome Flower community to use FEDn Studio SaaS!
@scaleoutsystem and @flwrlabs are excited to announce a strategic collaboration to drive the adoption and innovation of federated learning methodology. (1/4) scaleoutsystems.com/post/scaleout-… @niclane7 @daniel_janes @A_Hellander @ salmantoor
We're hiring a senior frontend engineer
🌸 Join the Flower Team! 🌸 Flower is hiring a Senior Front-end Engineer to work on our react-based website and Flower front-end needs across native devices (via electron or similar). 🤖 Further details and to apply: buff.ly/4aHxgEh #techjobs #react #electron #remote
Charles Kerrigan of @CMS_law on #SmartAndIntelligentContracts “Don’t assume that lawyers have the answers” At our 6th #Blockchain evidence Meeting
Today is the deadline for applying to the summer 2024 Y Combinator batch. Don't be deterred from applying if you're not very far along yet. In a typical batch, about 40% of the startups YC funds are just an idea.
Apply to YC The value of YC is easy to underestimate from the outside. We certainly underestimated it before we went through YC. Don't make that mistake.
The deadline for YC S24 is tomorrow. Here's why you SHOULD NOT APPLY TO YC: YC seems like a reasonable proposition. They give you some money to help start your business, and they promise you access to a community of people that can help you along the way. In exchange, they don't…
@SAlexashenko @karpathy I like Federated learning more.
FLock employs federated learning to train AI models directly on user devices, ensuring privacy and diverse data utilization. Meanwhile, IO.Net contributes idle computing capacity.
What we need to get behind.
@ThomasW423 @MikeK_LA @erhartford Check out our FlowerLLM release, we've figured it out and both open-sourcing and transparently documenting everything. Video here: youtu.be/dwDR81p8TIg
@flwrlabs @MikeK_LA @erhartford Nice! I bugged petals about it forever ago. You'll also notice I'm already following you hahaha. github.com/bigscience-wor…
2ND WORKSHOP ON ADVANCEMENTS IN FEDERATED LEARNING (WAFL) event located at the @ECMLPKDD 2024. Learn more about Federated machine learning! @makgyver17 👉🏼 More info: wafl2024.di.unito.it
#FederatedLearning is likely to be the primary target of this experiment, as it is one of the most important tasks in learning.
@MikeK_LA @erhartford We need to figure out federated learning for pre-training so we won't have to be beholden to firms like Meta or Google for our models imo
Prediction: Federated learning will be used in next generation SOTA model trainings.
Extremely happy that our work on energy-aware data streaming for edge computing initially inspired during the @RainbowH2020 project, received the best paper award at the #CloudCom2023 conference. @AilabUnic @LInC_UCY
Our FedBed paper about testing #Federated_Learning deployments is featured on @TheOfficialACM @GrowKudos showcase growkudos.com/publications/1…
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