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- Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge . . .
Recent works utilize secure aggregation with zero-knowledge proofs (ZKP) to guarantee input privacy and integrity in FL Nevertheless, they sufer from extremely low eficiency and, thus, are impractical for real deploy-ment
- What are ZK Rollups and Why Does Web3 Need Them? - Medium
Naliwal revealed in the 2023 Token2049 conference in Singapore that Polygon is investing $1 billion to build zero-knowledge (ZK)-powered scaling solutions for Ethereum
- Overcoming Web3 Adoption Barriers with Layer-2 Blockchain Solutions by . . .
Overcoming Web3 Adoption Barriers requires scalable Layer-2 solutions Explore how Icetea Software improves speed, reduces costs Web3 adoption for real-world
- The Rise of Zero-Knowledge Proofs – Revolutionizing Blockchain Privacy . . .
Blockchain technology has transformed the financial landscape – but as it continues to evolve, the need for enhanced privacy, scalability and security has become more apparent
- Zero Knowledge Proof based Gradient Aggregation for . . . - HackerNoon
zkFL leverages zero-knowledge proofs (ZKPs) to tackle the issue of a malicious aggregator during the training model aggregation process
- Best ZK Rollup Projects: Top 7 Zero Knowledge Coins (2025)
Popular ZK Rollup projects in the crypto space are Loopring (LRC), ImmutableX (IMX), Syscoin (SYS), and Polygon zkEVM For Layer-2
- Zero Knowledge Proof based Gradient Aggregation for . . . - HackerNoon
zkFL leverages zero-knowledge proofs (ZKPs) to tackle the issue of a malicious aggregator during the training model aggregation process
- -: Zero-Knowledge Proof-Based Gradient Aggregation for Federated . . .
zkFL zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning Abstract: Federated learning (FL) is a machine learning paradigm, which enables multiple and decentralized clients to collaboratively train a model under the orchestration of a central aggregator FL can be a scalable machine learning solution in Big Data scenarios
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