press launch
PRESS RELEASE. After over a yr of preparation and restructuring, decentralized and privacy-enabled AI group Federated Studying Consortium (FLC) is about to launch as a for-profit analysis consortium in Hong Kong, China, shifting from a beforehand non-profit method. FLC is about to be led by founding keystone members – blockchain expertise platform Phoenix and main China-based client information and AI firm APEX Applied sciences.
FLC’s imaginative and prescient is centered on researching, growing, and selling cutting-edge applied sciences surrounding federated AI, together with federated studying, blockchain-enabled AI, multi-party computation (MPC), and TEE (trusted execution surroundings). The group will likely be notably concerned about combining large-dataset deep studying applied sciences, akin to reinforcement studying, with extremely performant infrastructures utilizing GPU computing utilizing a decentralized/federated method.
Organizational membership will likely be open to AI associated expertise companies, blockchain companies, and system integrators – the aim is to have the ability to present holistic, implementable, and extremely performant options for the broader market, centered initially on China and Asia. By means of inside partnerships and joint analysis initiatives, organizations will be capable to ship new expertise options that weren’t doable on a standalone foundation,
Particular person membership can also be accessible for teachers and business consultants. At the moment FLC already has an preliminary roster of machine studying and federated studying consultants from main China-based companies akin to HuaAT (华院数据), FuData (富数科技) , and Tencent.
FLC will likely be centered on growing expertise options for numerous completely different verticals, together with however not restricted to retail, monetary companies, automotive, asset administration, IoT, and authorities.
For extra info:
FLC: https://flc.ai/
Phoenix: https://phoenix.global/
APEX Applied sciences: https://www.apextechnologies.com/
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