Continual classification in homogeneous models is sequential projections onto margin sets, with local linear convergence under regularity properties for random and cyclic tasks, extended to regression.
arXiv preprint arXiv:2502.05668 , year=
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Convergence of Continual Learning in Homogeneous Deep Networks
Continual classification in homogeneous models is sequential projections onto margin sets, with local linear convergence under regularity properties for random and cyclic tasks, extended to regression.