Semi-Asynchronous Systems are computational architectures that operate with a degree of timing flexibility, allowing certain operations to proceed without requiring immediate confirmation from all participants. Unlike fully synchronous systems where all nodes must agree on the timing of an operation, semi-asynchronous systems permit some latency. This characteristic can enhance performance and scalability while still maintaining a degree of determinism.
Context
The relevance of Semi-Asynchronous Systems is frequently discussed in the context of scaling solutions for blockchain networks and distributed databases. These systems offer a potential path to higher transaction throughput by relaxing strict timing constraints. Current research often explores the trade-offs between performance gains and the complexity of ensuring eventual consistency and security in such environments, particularly when adversarial actors might be present.
This research introduces a Stackelberg game model and ADMM algorithm to motivate edge servers, enabling optimal resource contribution in decentralized AI training.
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