TechFlow news — The FLock Foundation, a Swiss nonprofit in the field of decentralized artificial intelligence (AI), has announced a new chapter in AI development using edge computing and federated learning technologies. FLock extends traditional model training—previously reliant on public data—to private data, enhancing AI model adaptability in specialized domains such as healthcare and finance, while preserving user data privacy.
By decentralizing training tasks to user devices like smartphones and laptops, FLock leverages idle computational power across edge devices for distributed training, significantly reducing training latency and enabling rapid adaptation to dynamic environments. Users can contribute data to improve models while maintaining full privacy—and will be rewarded for their contributions.
In addition, the FLock Foundation has announced collaborative support from two leading AI researchers:
- Professor Zhao Zhang: Assistant Professor at Rutgers University and a globally recognized expert in large-scale machine learning, who contributed to OpenFold, an open-source protein structure prediction model.
- Professor Yang You: Young Professor at the National University of Singapore, who previously set world records in ImageNet and BERT training speed. His optimizers, LARS and LAMB, have become industry standards.
These experts will help FLock advance its decentralized learning framework, accelerating the democratization and innovation of AI.
The FLock Foundation is now accepting applications for the FL Alliance Private Beta. Users and organizations interested in decentralized AI are welcome to join and co-drive the next wave of AI innovation.
Sign up here: FL Alliance Private Beta.
