# Announcing Flower 1.42.0

**URL:** <https://discuss.flower.ai/t/announcing-flower-1-42-0/1290>\
**Category:** General\
**Tags:** flower, release\
**Created:** [October 22, 2026, 3:53pm UTC](https://discuss.flower.ai/t/announcing-flower-1-42-0/1290 "2026-10-22T15:53:00Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![pan-h](https://dub1.discourse-cdn.com/flex013/user_avatar/discuss.flower.ai/pan-h/32/67_2.png) [@pan-h](https://discuss.flower.ai/u/pan-h)\
**Post date:** [October 22, 2026, 3:53pm UTC](https://discuss.flower.ai/t/announcing-flower-1-42-0/1290/1 "2026-10-22T15:53:00Z")

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![2026-10-22-announcing-flower-1.42-release](https://europe1.discourse-cdn.com/flex013/uploads/flower/original/1X/921da83e7189c6511377d84ca04b169bd67cd3b6.jpeg)

The Flower team is excited to announce the release of Flower 1.42 stable, packed with new updates!

**Flower is a friendly framework for collaborative AI and data science.**  
It makes novel approaches such as federated learning, federated evaluation, federated analytics, and fleet learning accessible to a wide audience of researchers and engineers.

### Thanks to our contributors

We would like to give our special thanks to all the contributors who made the new version of Flower possible (in `git shortlog` order):

`Charles Beauville`, `Chong Shen Ng`, `Heng Pan`, `Javier`, `Taner Topal`

### What’s new?

- **Reduce Agent response latency with faster warm-pool handoff** ([#8280](https://github.com/flwrlabs/flower/pull/8280))

- **Train the vertical FL example reliably** ([#8396](https://github.com/flwrlabs/flower/pull/8396))

- **Improve Python TLS security following the eMudhra CA incident** ([#8400](https://github.com/flwrlabs/flower/pull/8400))

- **General improvements** ([#8369](https://github.com/flwrlabs/flower/pull/8369), [#8391](https://github.com/flwrlabs/flower/pull/8391), [#8392](https://github.com/flwrlabs/flower/pull/8392), [#8393](https://github.com/flwrlabs/flower/pull/8393), [#8398](https://github.com/flwrlabs/flower/pull/8398), [#8399](https://github.com/flwrlabs/flower/pull/8399), [#8403](https://github.com/flwrlabs/flower/pull/8403), [#8405](https://github.com/flwrlabs/flower/pull/8405))