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new 5063e9da Update index.tsx (#69)
5063e9da is described below
commit 5063e9da546546e1baad5d6580e6a1909df0537e
Author: Alexander Alten-Lorenz <[email protected]>
AuthorDate: Tue Nov 26 11:20:02 2024 +0100
Update index.tsx (#69)
---
src/components/HomepageFeatures/index.tsx | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/src/components/HomepageFeatures/index.tsx
b/src/components/HomepageFeatures/index.tsx
index 45799df1..0e4c6d4b 100644
--- a/src/components/HomepageFeatures/index.tsx
+++ b/src/components/HomepageFeatures/index.tsx
@@ -10,29 +10,29 @@ type FeatureItem = {
const FeatureList: FeatureItem[] = [
{
- title: 'Ultra-fast data processing',
+ title: 'Decentralized Data Processing',
Svg: require('@site/static/img/svg/speed.svg').default,
description: (
<>
- In-situ federated data processing, up to 150x faster as centralized data
platforms
+ Seamlessly handle distributed datasets while preserving privacy.
</>
),
},
{
- title: 'Application independence ',
+ title: 'Compliance-Ready',
Svg: require('@site/static/img/svg/agnostic.svg').default,
description: (
<>
- Change three lines of code and move applications across multiple data
processing engines.
+ Ensures alignment with GDPR, HIPAA, and other data privacy regulations.
</>
),
},
{
- title: 'Data framework agnostic',
+ title: 'Multi-Backend Support',
Svg: require('@site/static/img/svg/api.svg').default,
description: (
<>
- Works with Apache Spark, PostgreSQL, Apache Flink, Java Streams, JDBC
and more
+ Integrates with popular ML frameworks for efficient federated learning
workflows.
</>
),
},
