Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) is poised to revolutionize the medical field, offering ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Last June, 10 major pharmaceutical ...
FLock.io, a startup that offers full-stack decentralized training and fine-tuning of artificial intelligence models, today announced it raised $6 million in seed funding to build a blockchain-based ...
The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who ...
Until recently, the contemporary AI industry had been built around a centralized distribution paradigm where machine learning solutions are delivered as a part of cloud-based APIs and software ...
A team of scientists in Belgium may have solved one of the biggest challenges in the field of AI using a blockchain-based, decentralized training method. While the research is still in its earliest ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results