Google releases federated machine learningTensorFlow summit 2019

Federated learning is going to be a thing. Health care is just one example… “TensorFlow Federated will provide distributed machine learning for developers to train models across many mobile devices without data ever leaving those devices. Encryption provides an additional layer of privacy, and weights from models trained on mobile devices are shared with a central model for continuous learning.” Read More

A warning on the dangers of ephemeral messaging

The Information’s Sam Lessin is bullish about Facebook’s moving to full encryption, but thinks a reliance on ephemeral messaging is a big mistake. He makes a good case and the issues he raises need broader consideration. (Firewall – but you can get access by providing an email.) Read More

Search engines: a human perspective

Wise words on search applications from Daniel Tunkelang.

The foundation of human-computer information retrieval (HCIR) is that search engines help searchers who help themselves. The best search engines reward searchers’ incremental effort with a higher return on investment. … But searchers have been trained by simple search interfaces, and their laziness is compounded by a skepticism of anything that violates their expectations. In order to earn searcher effort, search engines have to provide simple, incremental, and effective steps that guide searchers — and that teach them through experience that the return justifies the additional effort. Read More

Facebook’s News Feed era is now officially over

It’s anyone’s guess where Facebook will end up after the strategic shift announced last week. The new direction impacts all parts of the company and raises questions about their business model, growth, and of course, organization. Read More


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The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December.

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