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A change in the machine learning landscape

InfoWorld

Federated learning marks a milestone in enhancing collaborative model AI training. It is shifting the main approach to machine learning , moving away from the traditional centralized training methods towards more decentralized ones. Data is scattered, and we need to leverage it as training data where it exists.

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Silicon Valley Bank implodes, Apple launches a new music service, and ChatGPT goes enterprise

TechCrunch

Excitingly, it’ll feature new stages with industry-specific programming tracks across climate, mobility, fintech, AI and machine learning, enterprise, privacy and security, and hardware and robotics. Decentralize all the things: Meta is working on a decentralized text-based app, Ivan writes. Don’t miss it.

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Federated Learning, Machine Learning, Decentralized Data

Cloudera

Two years ago we wrote a research report about Federated Learning. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data. Keeping data decentralized helps solve essentially two problems.

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The 10 biggest issues IT faces today

CIO

We’re also learning that it’s all connected,” Hackenson says, noting that CIOs and their executive colleagues are realizing that a digital transformation initiative in one area, for example sales, must be accompanied by transformation in supporting areas such as supply chain. Growing cybersecurity, data privacy threats.

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Radar trends to watch: September 2020

O'Reilly Media - Ideas

There is serious talk of a “ Deep Learning recession ” due, among other things, to a collapse in job postings. An excellent analysis of participation in machine learning: how it is used, and how it could be used to build fair systems and mitigate power imbalances. TRUSTS is a data market funded by the European Commission.

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Four short links: 13 February 2019

O'Reilly Media - Ideas

Federated Learning, Clever-Commit, Web Design Trends, and Social Context. Towards Federated Learning at Scale -- research paper from Google on a distributed machine learning approach which enables training on a large corpus of decentralized data residing on devices like mobile phones.

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Clinical Data Management: Roles, Steps, and Software Tools

Altexsoft

million data points are generated during Phase III clinical trials which is three times more than 10 years ago. So what has caused such a dramatic rise in data volumes? Clinical data management has appeared to address this challenge. What is clinical data management. linical data management team and stages.