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Federated Studying Consortium (FLC) for Decentralized AI to Launch in Hong Kong, Led by Phoenix and APEX Applied sciences – Press launch Bitcoin Information


PRESS RELEASE. After over a yr of preparation and restructuring, decentralized and privacy-enabled AI group Federated Studying Consortium (FLC) is ready to launch as a for-profit analysis consortium in Hong Kong, China, shifting from a beforehand non-profit strategy. FLC is ready to be led by founding keystone members – blockchain expertise platform Phoenix and main China-based client knowledge and AI firm APEX Applied sciences.

FLC’s imaginative and prescient is centered on researching, creating, and selling cutting-edge applied sciences surrounding federated AI, together with federated studying, blockchain-enabled AI, multi-party computation (MPC), and TEE (trusted execution setting). The group can be significantly excited about combining large-dataset deep studying applied sciences, resembling reinforcement studying, with extremely performant infrastructures utilizing GPU computing utilizing a decentralized/federated strategy.

Organizational membership can be open to AI associated expertise corporations, blockchain corporations, and system integrators – the purpose is to have the ability to present holistic, implementable, and extremely performant options for the broader market, targeted initially on China and Asia. By inside partnerships and joint analysis initiatives, organizations will be capable to ship new expertise options that weren’t potential on a standalone foundation,

Particular person membership can be accessible for teachers and trade consultants. Presently FLC already has an preliminary roster of machine studying and federated studying consultants from main China-based corporations resembling HuaAT (华院数据), FuData (富数科技) , and Tencent.

FLC can be targeted on creating expertise options for varied completely different verticals, together with however not restricted to retail, monetary providers, automotive, asset administration, IoT, and authorities.

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