Flower AI Day Livestream: Open-Source Decentralized Superintelligence

We'll feature individual talks from HLS day in the coming weeks. But for now here are three can't miss talks for today.... 1/ "@Eye2Gene goes Global with Flower" by Ismail Moghul https://t.co/Q15tTyHtMP 2/ "PharosAI" by Gregory Verghese https://t.co/DNrpjSXWNl 3/

Talk Recordings from Flower UK Health and Life Sciences Day Are Now Live! We’re releasing all recorded talks from our recent UK Health & Life Sciences (HLS) Day in Cambridge. This one-day event brought together UK-based scientists, engineers, and leaders advancing

@theinnovator Full profile on @flwrlabs by @TheInnovator is out now:

🚀 Startup spotlight: Flower Labs — featured as “Startup of the Week” by @TheInnovator 🤝 The article showcases how Flower enables organizations to build AI directly on distributed, privacy-sensitive data across healthcare, finance, telecom, manufacturing, and more — all without

𝐇𝐞𝐚𝐝𝐢𝐧𝐠 𝐨𝐮𝐭 𝐭𝐨 𝐉𝐚𝐯𝐢𝐭𝐬 𝐂𝐞𝐧𝐭𝐞𝐫 𝐟𝐨𝐫 𝐃𝐚𝐲 2 𝐨𝐟 𝐀𝐈 𝐒𝐮𝐦𝐦𝐢𝐭 𝐍𝐘! 🗽 So far it has been a great event; a bunch of interesting people to talk to, and many amazing presentations! Day 2 starts of great with a sunny morning here in NYC. Shoutout to

Join us this week at the AI Summit New York. Flower Labs will be on-site and looking to connect especially with teams shaping the future of decentralized, privacy-preserving and federated AI. If you’re working in healthcare, telco, finance, automotive, manufacturing, or any

☀️ 𝐅𝐞𝐝𝐞𝐫𝐚𝐭𝐞𝐝 𝐀𝐈 𝐒𝐨𝐥𝐚𝐫 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐍𝐨𝐰 𝐑𝐮𝐧𝐬 𝐨𝐧 @Raspberry_Pi 🌍 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐒𝐨𝐥𝐚𝐫𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫 Exciting research published in Energy Conversion and Management: X (@ElsevierConnect). It introduces SolarTransformer; a

Join us in our next open science effort and participate in papers like this @NeurIPSConf on federated LLM fine-tuning.

Huge energy around our @NeurIPSConf community paper on balancing task performance, privacy, and compute/communication overhead in LLM fine-tuning. @flwrlabs Scientist @yangao381 was absolutely swamped. We love especially meeting so many teams already using Flower to power their

Dipping my toes into federated learning of late and trying out @flwrlabs . Must say, the team has done a great job on the documentation and tutorials 👏

Thank you to everyone who joined our workshop this week “Decentralized AI: How Europe Could Become the Next AI Superpower” at the AI@HPI Conference. The strong engagement showed how timely this topic is, and how much potential Europe has to shape a decentralized,

Today @NeurIPSConf: Come meet Yan Gao (@yangao381) and dive into FlowerTune, the latest community-powered research paper from Flower Labs. When: Dec 4, 4:30–7:30 PST Where: Exhibit Hall C/D/E Poster #800 Paper: https://t.co/JsLkA7PD3d

Flower Monthly December

Tune in a few hours from now for Flower Monthly December, where we’ll share the latest updates from the open-source community. Your host will be @jafermarq of Flower! Our invited speakers include: Ashkan Pirmani @ashkan_pirmani (KU Leuven & Hasselt University) and Ashkan Moradi

Flower is @NeurIPSConf this week presenting exciting new results for the world of federated learning — and it’s truly a community-driven effort. The work "FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models" brings together contributions from

@badcryptobitch @flwrlabs Super cool, big fan of their team

Just when you thought @NeurIPSConf week couldn’t get any bigger -- Flower 1.24 has landed 🚀 ✅ Python 3.13 support ✅ Better flwr list UX ✅ Stronger federation commands & visibility into SuperNodes ✅ Unified app heartbeat to avoid hangs ✅ Perf + reliability upgrades across

Flower Monthly is this Wednesday! A new round of federated learning research + real-world insights is coming your way. We are featuring @ashkan_pirmani presenting MS disability-progression modeling with personalized FL, and @ashkn_mrd discussing prostate cancer detection with

Catch @flwrlabs at NeurIPs this year! Our Research Scientist Yan Gao (@yangao381) will be on-site @NeurIPSConf, where he'll be presenting our community paper "FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of LLMs." Yan is excited to meet researchers,