Federated Learning
Federated Learning

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Products and services for "Federated Learning"

Image for Federated Learning | Katulu
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Verified

Federated Learning | Katulu

Learn how our platform enables federated learning to overcome data barriers, protect privacy, and accelerate AI adoption for intelligent action.

by Katulu GmbH

Image for Federated Learning: A Decentralized Approach to Training Machine Learning Models
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Verified

Federated Learning: A Decentralized Approach to Training Machine Learning Models

Federated Learning is a decentralized machine learning technique that can help organizations overcome data security issues, reduce computational burden, and achieve more accurate predictions

by Inxite Out

Image for Federated Learning applications – Desidoo.com Srl
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Federated Learning applications – Desidoo.com Srl

Federated Learning applications | Gli approcci standard di machine learning richiedono la centralizzazione dei dati di addestramento su una macchina o in un data center. Per i dati di addestramento raccolti dall’interazione dell’utente con i dispositivi mobili, è meglio utilizzare un approccio diverso, il federated learning. Il federated learning consente ai dispositivi mobili di apprendere in modo collaborativo un modello di previsione condiviso (addestrare il modello di previsione) mantenendo tutti i dati sul dispositivo. In questo modo si riduce il tempo di latenza, il consumo energetico e l’utilizzo di modelli complessi da addestrare garantendo la privacy delle informazioni che l’utente fornisce attraverso il suo dispositivo mobile. Inoltre con il federated learning l’utente può utilizzare la sua applicazione in tempo reale beneficiando dei risultati che il modello di machine learning aggiornato può offrire. Il federated learning funziona senza la necessità di archiviare i dati degli utenti nel cloud. Utilizziamo  protocolli di aggregazione sicura in modo che un server di coordinamento possa gestire l’aggiornamento dei dati degli utenti al raggiungimento di una soglia definita di utenti, criptando le comunicazioni. L’utilizzo del federated learning richiede che i professionisti del machine learning come DSD, adottino nuovi strumenti e un nuovo modo di pensare: 1. Sviluppare il modello di apprendimento, addestrarlo e validare i risultati senza avere accesso diretto ai dati. 2. Nessuna possibilità di trattare i dati di addestramento . 3. Costi di comunicazione che aumentano. | Panoramica della privacy

by Desidoo.com S.r.l.

Image for Federated Learning Solutions Market Size, Share And Forecast
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Verified

Federated Learning Solutions Market Size, Share And Forecast

Federated Learning Solutions Market size is projected to reach $260.33 Mn by 2030, registering a CAGR of 9.50% from 2023 to 2030

by Verified Market Research

Image for Federated learning - BioLizard
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Federated learning - BioLizard

Balancing the predictive performance of an algorithm by feeding it more data with the concerns for data privacy is an important issue

by BioLizard

Image for Rhino Health | Healthcare AI Platform
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Rhino Health | Healthcare AI Platform

Rhino Health accelerate delivery of AI-based healthcare solutions by providing access to a large, distributed dataset from a diverse group of real-world patients.

by Rhino Health

Image for Professional Services - More than Federated Learning | Katulu
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Professional Services - More than Federated Learning | Katulu

Katulu is your partner for intelligent digitization projects in industry. We develop intelligent value-added services and reconcile machine learning with data protection. Learn what collaboration with Katulu looks like.

by Katulu GmbH

Image for Professional Services - Mehr als Federated Learning | Katulu
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Professional Services - Mehr als Federated Learning | Katulu

Katulu ist Ihr Partner für intelligente Digitalisierungsprojekte in der Industrie. Wir entwickeln intelligente Mehrwertdienste und bringen Machine Learning mit Datenschutz in den Einklang. Erfahren Sie wie die Zusammenarbeit mit Katulu aussieht.

by Katulu GmbH

Image for BOSS AI | Best Features In Federated Machine Learning
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BOSS AI | Best Features In Federated Machine Learning

Stop worrying about collecting and cleaning your data. BOSS’ proprietary software is the ONLY solution on the market today that can collect data at the source with our Federated Machine Learning solution.

by BOSS AI

Image for Federated deep learning offers new approach to model training | TechTarget
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Federated deep learning offers new approach to model training | TechTarget

The explosion in popularity of deep learning has brought with it new demands on infrastructure. Model training requires massive amounts of compute power and data storage. But federated deep learning, which distributes these demands to endpoint devices, could change all that.

by TechTarget

55 companies for "Federated Learning"

Katulu GmbH's Logo

Hamburg, Germany

11-50 Employees

2018

Katulu is the platform for federated machine learning in industry. Build and run AI applications across factories, organizations and borders without sharing data. Sign up to get early access to our platform and learn how to build and run AI applications across factories, organizations and borders without sharing data. Build and run AI applications using all of your organization's data. Our platform solves internal barriers, such as regulatory constraints(e.g. export control, GDPR etc.) and IP protection, while remaining compliant.

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Product
Image for Federated Learning

Federated Learning

... Learn how our platform enables federated learning to overcome data barriers, protect privacy, and accelerate AI adoption for intelligent action. ...

Rhino Health's Logo

Boston, United States

11-50 Employees

2020

Headquartered in Boston, MA, with an R&D Center in Tel Aviv, Israel, Rhino Health is a growing team of healthcare and technology experts committed to accelerating creation and adoption of AI-based healthcare solutions for increasingly diverse patient populations. Meet the people who are re-imagining what’s possible in healthcare AI and putting the power of federated learning into action. Director, Ultrasound Research & Translation - Massachusetts General Hospital.

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Featured

Product
Image for Federated Learning That Supports

Federated Learning That Supports

... Federated Learning with Rhino ...

Acuratio's Logo

United States

1-10 Employees

2017

With Acuratio's Multicloud Federated Learning Platform organizations around the world are able to unlock the value of data by combining datasets without compromising privacy. Many companies anticipate huge benefits from machine learning, but cannot access the data they need due to privacy or regulatory concerns. Acuratio’s platform allows companies to leverage and combine different types of data to develop more accurate models or compute aggregate statistics, while preserving both model and data privacy. Train a ML Learning model with distributed examples of the same data with Split Learning or Federated Averaging. Example: Data localization, fraud, risk, forecasting…. Combine two or more data sources with a common set of users but different features with Split Learning and Private Set intersection.

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Core business
Image for Multicloud Federated Learning

Multicloud Federated Learning

... With Acuratio's Multicloud Federated Learning Platform organizations around the world are able to unlock the value of data by combining datasets without compromising ...

BranchKey's Logo

Utrecht, Netherlands

1-10 Employees

2019

BranchKey offers enterprise grade cloud and on-prem solutions to manage your federations from development to production using state-of-the-art modeling techniques. The cloud infrastructure is 100% European and offers lightweight APIs to manage deployments following industry standards (e.g., REST and AMQP protocols). Our platform is system agnostic and language independent, but for Python users we maintain a Python-SDK via PyPi. We offer dashboards to investigate the health of your federated machine learning deployments at any time. Federation management and access can be controlled via our platform.

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Core business
Image for Home - BranchKey - Your federated learning partner

Home - BranchKey - Your federated learning partner

... BranchKey provides a sector agnostic federated learning as a service (FLaaS) to scale your Machine Learning applications. ...

VisionX LLC's Logo

San Jose, United States

11-50 Employees

We built a bridge for industries and enterprises to realize cross-industry collaboration, with the goal of creating high-quality AI solutions and leading the way into Industry 4.0. In the future, we are going to be able to serve thousands of industries and offer millions of AI solutions with a vast and ever-expanding dataset. Starting at defect detection, we are expanding into robot pick and place, predictive maintenance, smart voice interaction, supply chain and much more. We offer adjusting hardware specification and industry-matching databases. phone: +1 (408) 418-6388 Fax: +1 (775) 240-9793.

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Core business
Image for Federated Learning

Federated Learning

... Federated Learning ...

Desidoo.com S.r.l.'s Logo

Turin, Italy

1-10 Employees

2018

Gli approcci standard di machine learning richiedono la centralizzazione dei dati di addestramento su una macchina o in un data center. Per i dati di addestramento raccolti dall’interazione dell’utente con i dispositivi mobili, è meglio utilizzare un approccio diverso, il federated learning. Il federated learning consente ai dispositivi mobili di apprendere in modo collaborativo un modello di previsione condiviso (addestrare il modello di previsione) mantenendo tutti i dati sul dispositivo. In questo modo si riduce il tempo di latenza, il…. Mentre il cloud diventa il nuovo standard per le operazioni e i big data continuano a guidare la business intelligence e la capacità di competere in un mercato digitale sempre più frenetico, l’integrazione del database aziendale assume un ruolo fondamentale nel garantire che le aziende sfruttino in modo efficiente i propri dati piuttosto che essere sopraffatto da esso.

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Featured

Service
Image for Federated Learning applications

Federated Learning applications

... ’interazione dell’utente con i dispositivi mobili, è meglio utilizzare un approccio diverso, il federated learning. Il federated learning consente ai dispositivi mobili di apprendere in modo collaborativo un modello di previsione condiviso (addestrare il modello di previsione) mantenendo ...

BioLizard's Logo

Ghent, Belgium

11-50 Employees

The concept of an agile biological data science consulting company was initially conceived by three trailblazers in the bioinformatics world. Wim Van Criekinge, a professor in computational biology in University of Ghent, Gerben Menschaert, the faculty member of the same university, and Jan Van den Berghe, an entrepreneur and a close friend of Wim. They realised that there are so many unanswered questions in the biological world, and genuinely believe that using the right tools such as data science, bioinformatics, biostatistics, machine learning, and AI, many of these problems can be solved. This led to the birth of BioLizard, a team of experienced bioengineers and computer science experts highly skilled in a full range of data science areas. The industry is becoming extremely data-driven, and the integration of heterogeneous data in a dynamic environment is becoming central to success.

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Image for Federated learning - BioLizard

Federated learning - BioLizard

... Federated learning - ...

ATB Ventures's Logo

Calgary, Canada

11-50 Employees

We put ourselves in the shoes of others to better understand their perspectives. At ATB Ventures, our ambitions extend beyond banking business models. We build and launch meaningful products that bring as many people as possible into the digital economy. By focusing on the golden thread of trust that ties our digital lives together we are able to weave in the joy of being human with style and precision. As a thesis-driven innovation lab, ATB Ventures embraces a set of operating principles and perspectives that guide all our decision-making and engineering efforts.

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Product
Image for ATB Ventures | Portfolio

ATB Ventures | Portfolio

... Federated Learning ...

TieSet's Logo

United States

1-10 Employees

2020

Today, centralized data & AI systems face enormous challenges of privacy, scalability, and training efficiency taking longer time to create real insight from data. Check out the Federated Learning book authored by the TieSet co-founders! Data remains at local user devices while providing more access to various data silos and sources through federated learning. With distributed and parallel learning process, not collecting big data, you can deliver intelligence before it gets outdated. Build new product features and grow business with more customer data to fuel the most adaptive and personalized experience.

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Product
Image for Platform | TieSet Site

Platform | TieSet Site

... Federated, Transfer, & Continuous Learning ...

Shoji's Logo

1-10 Employees

2021

Embrace the cutting edge of encryption technology to accelerate business operations. Our platform ensures that data stays exactly where it is. No one can see or move row-level information. Learn from data streams both inside and outside your business. Our service simplifies data operations, while optimising for insight.

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Image for Product

Product

... Federated learning ...

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„Federated Learning“

Federated Learning is a type of machine learning technique which allows multiple participating devices to collaboratively learn a shared prediction model while keeping their individual data on-device, without the need to aggregate data into a centralised location. This technique allows multiple users to train a shared model without needing to share their data with each other or a centralised server.