This section explores how the [[ZKP/Data Marketplace/Intro|Data Marketplace]] infrastructure could support [[Introducing Advanced Federated Learning|federated learning]] (FL), a privacy-enhancing approach to [[ZKP/Research/Advanced Federated Learning/Example Application|collaborative model training.]] ## Federated Learning Framework The Data Marketplace architecture supports federated learning (FL) implementations, allowing participants to train machine learning [[ZKP/Research/Advanced Federated Learning/Secure Aggregation with SMPC|models collaboratively]] while keeping raw data local, aligning with privacy [[ZKP/Research/Advanced Federated Learning/Differential Privacy in Federated Learning|preservation principles]] [93, 94]. The process follows a defined workflow coordinated through off-chain workers: - **Dataset Selection:** Participants access [[ZKP/Data Marketplace/Tokenized Datasets/Comprehensive Mechanisms of Tokenized Datasets|datasets]] via the [[ZKP/Data Marketplace/Tokenized Datasets/Tiered Access Control|tiered system,]] selecting relevant data (e.g., medical records) at Tier 3, with [[ZKP/Data Marketplace/Technical Basis/Cryptographic Foundations/Lifecycle of zk-SNARKs|zk-SNARKs]] verifying eligibility through the verification infrastructure without revealing token balances [77]. - **Local Training**: Participants train local models using a stochastic gradient descent (SGD) algorithm with a learning rate of 0.01 and batch size of 32, processing data on their nodes to generate gradient updates. - **Secure Update Submission:** Updates are encrypted with AES-256 (GCM mode) and submitted with zk-SNARK proofs of correctness, costing approximately 210,000 weight equivalent in testnet simulations [82]. - **Aggregation**: An off-chain aggregator coordinated through off-chain workers (using secure multi-party computation, SMPC) computes a weighted average of updates, weighted by dataset size, and submits a single proof for on-chain verification. See also: [[ZKP/Data Marketplace/Federated Learning/Integration with ZKP Infrastructure|Integration with ZKP Infrastructure]]