FedML, a collaborative AI startup, announced a $11.5 Seed round led by Camford Capital. The company works on a federated approach to machine learning, where models are trained on private or siloed data at the edge. FedML would enable healthcare organizations to build models based on their data without sharing private information. - Launched in March 2022, the open-source platform has over 3,000 users, performing 8,500 AI training jobs across 10,000 edge devices.
- The startup built FedLLM, a pipeline for domain-specific LLMs, compatible with popular libraries such as Hugging Face and DeepSpeed.
- Other investors in the round include AimTop Ventures, Road Capital, Finality Capital Partners, and PrimeSet.
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