AI RESEARCH
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
arXiv CS.LG
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ArXi:2603.08972v1 Announce Type: new Internet of Things (IoT) Analytics often involves applying machine learning (ML) models on data streams. In such scenarios, traditional ML paradigms face obstacles related to continuous learning while dealing with concept drifts, temporal dependence, and avoiding forgetting. Moreover, in IoT, different edge devices build up a network. When learning models on those devices, connecting them could be useful in improving performance and reusing others' knowledge.