A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.
Lifelearner: Hardware-aware meta continual learning system for embedded computing platforms.arXiv preprint arXiv:2311.11420, 2023
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Orion is a self-adaptive memory management framework for on-device online continual learning that co-optimizes latency, plasticity, and stability via URGE-based reallocation and prefetching.
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What changes after deployment? A survey on On-device Learning in TinyML
A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.