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Forget relying on pretrained models or complex aggregation schemes: FederatedFactory achieves near-centralized performance in federated learning with extreme data heterogeneity by simply swapping generative priors.
Forget juggling CL and SML separately鈥擲treaming Continual Learning (SCL) offers a single framework for rapid adaptation *and* knowledge retention in dynamic environments.
Forget catastrophic forgetting: modular memory, blending in-context and in-weight learning, offers a practical path to truly continual learning agents.
Conformal prediction offers a surprisingly effective way to pinpoint exactly which samples are most affected by concept drift, even when traditional methods struggle in complex data.
