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Convergence of∆ r Similarly to (10), we have: ∆r,(Ff+Fr)T =β Fr∆r,(Ff+Fr)(T−1) + (1−β)· FrX t=1 βFr−t gr,(Ff+Fr)(T−1)+F f+t − bB(Ff+Fr)(T−1)+F f+t−1 (13) WhenT→ ∞, for1≤t≤F r, according to (9), we have: lim T→∞ B(Ff+Fr)(T−1)+F f+t−1 =β · 1973 · arXiv 4957.5149

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DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models

cs.LG · 2026-05-20 · unverdicted · novelty 6.0

DualOptim+ introduces base and delta optimizer states that adaptively bridge shared and decoupled components based on gradient directional conflicts to improve trade-offs in LLM machine unlearning.

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DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models cs.LG · 2026-05-20 · unverdicted · none · ref 12
DualOptim+ introduces base and delta optimizer states that adaptively bridge shared and decoupled components based on gradient directional conflicts to improve trade-offs in LLM machine unlearning.

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