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Arxiv
1d
197
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Doubly Adaptive Social Learning
- In social learning, a network of agents assigns probability scores (beliefs) to hypotheses of interest for generating streaming data.
- The traditional approach may fail to adapt to dynamic drifts in the data, leading to incorrect decision making.
- The Doubly Adaptive Social Learning (A2SL) strategy is proposed to overcome this limitation by incorporating two adaptation stages.
- The A2SL strategy ensures consistent learning by tracking and adapting to changes in the decision model and the true hypothesis over time.
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