Archives for decentralised ai

25 Jan

Council Post: Overcoming the cyclical challenge of data utility and data privacy through Federated Learning

image-30472
image-30472
    consumer privacy
One of the defining characterist wwwics of federated learning is that it keeps raw data decentralised, train model decentralised and then aggregate. Unlike traditional data centre-based distributed learning settings where data is arbitrarily distributed and any node within the network can access the data, Federated Learning involves heterogeneous distributed data to help protect privacy.
01 Sep

BitTorrent For ML: A Novel Decentralised Way Of Using Supercomputers From Your Home

image-15290
image-15290
    decentralised ai

Training the popular GPT-3 from scratch can cost millions of dollars. OpenAI can afford it. But, what if an individual researcher wants to experiment on such a large scale? It is almost impossible to generate funds for toying with networks.  To address this large gap between innovation and computation in ML, a team of researchers…

The post BitTorrent For ML: A Novel Decentralised Way Of Using Supercomputers From Your Home appeared first on Analytics India Magazine.

15 Oct

Decentralised AI Platforms Are Crucial To Data Privacy

image-478
image-478
    blockchain technology india

At a time when enterprises are making rapid gains in developing artificial intelligence systems, AI platforms still remain increasingly centralised. Jesus Rodriguez of Invector Labs, who is also an angel investor and a promoter of blockchain platforms, says that emerging technologies like the internet of things are increasingly challenging this notion. Decentralised AI is at…

The post Decentralised AI Platforms Are Crucial To Data Privacy appeared first on Analytics India Magazine.