DAQSyn: A decentralized adaptive quantization-aware synchronous framework in heterogeneous on-device AI networks.
This paper presents the Decentralized Adaptive Quantization-Aware Synchronous (DAQSyn) framework, a unified resource-aware learning strategy that integrates adaptive quantization, synchronization, and performance-weighted aggregation that enables lightweight models with reduced communication cost and robust learning pe...