Description
Decentralized Machine Learning (DML) introduces an innovative solution aimed at democratizing AI development by leveraging underused private data and computing resources from smartphones and IoT devices without compromising on privacy and security. The project features a decentralized marketplace and protocol that facilitate anonymous data sharing for AI training, while maintaining data integrity and user privacy through blockchain technology. This ecosystem incentivizes participation by rewarding users with DML tokens, ensuring equitable compensation for data contributors and fostering a vibrant, inclusive digital economy. DML utilizes on-device machine learning, barring the need for data extraction and promoting privacy. It aims to harness the idle processing power of billions of devices to run machine learning algorithms, thereby speeding up AI development. The project emphasizes mass participation by encouraging an algorithm trainer community to collectively enhance algorithms. Moreover, DML promotes innovation by supporting multi-blockchain adoption and interoperability, ensuring a decentralized, blockchain-agnostic approach. By returning control to ecosystem participants ...
Decentralized Machine Learning (DML) introduces an innovative solution aimed at democratizing AI development by leveraging underused private data and computing resources from smartphones and IoT devices without compromising on privacy and security. The project features a decentralized marketplace and protocol that facilitate anonymous data sharing for AI training, while maintaining data integrity and user privacy through blockchain technology. This ecosystem incentivizes participation by rewarding users with DML tokens, ensuring equitable compensation for data contributors and fostering a vibrant, inclusive digital economy. DML utilizes on-device machine learning, barring the need for data extraction and promoting privacy. It aims to harness the idle processing power of billions of devices to run machine learning algorithms, thereby speeding up AI development. The project emphasizes mass participation by encouraging an algorithm trainer community to collectively enhance algorithms. Moreover, DML promotes innovation by supporting multi-blockchain adoption and interoperability, ensuring a decentralized, blockchain-agnostic approach. By returning control to ecosystem participants ...
