Communication cost reduction involves minimizing the data volume transmitted between network participants in a blockchain system. This optimization aims to lessen bandwidth consumption and network latency. Decreased communication overhead contributes to improved transaction throughput and overall network efficiency. It is a vital aspect of scaling decentralized systems.
Context
The discussion around communication cost reduction is prominent in efforts to scale blockchains, particularly with sharding and rollup technologies. Ongoing research seeks innovative cryptographic methods and data compression techniques to further decrease the data transmitted across nodes, thereby enhancing network performance and reducing operational expenses.
ZKPoT consensus leverages zk-SNARKs to cryptographically verify model training contributions, enabling private, scalable, and decentralized AI collaboration.
The Zero-Knowledge Proof of Training consensus mechanism uses zk-SNARKs to prove model performance without revealing private data, solving the privacy-utility conflict in decentralized computation.
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