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NeurIPS 2026ISTACISPACISPA Helmholtz CenterOptimization

Efficient Algorithms for Distributed Saddle Problems

Ruichen Luo, Anton Rodomanov, Sebastian Stich

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026CISPA Helmholtz Center for InforQualcomm AI ResearchCISPA Helmholtz CenterPruning & sparsity

AC/DC on a Budget -- Alternating Sparse Phases

Rahul Nittala, Advait Gadhikar, Tom Jacobs, Rebekka Burkholz

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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86%Must read
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NeurIPS 2026CISPA Helmholtz Center for InforCISPA Helmholtz CenterMachine unlearning

Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning

Unlearning causes localized collateral forgetting that grows near deleted examples due to inconsistent surrogate targets, and local teacher distillation mitigates it.

Polina Dolgova, Sebastian Stich

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
72%Highly rated
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NeurIPS 2026SaarlandQualcomm AI ResearchCISPA Helmholtz CenterCISPA Helmholtz Center for InforPrivacy

Prune to Protect: Faster Training and Enhanced Privacy by Dynamic Data Pruning

WLIB dynamically prunes easy samples and reweights hard ones to reduce memorization, improve privacy, and speed up training.

Chinmay Joshi, Advait Gadhikar, Celia Rubio-Madrigal, Aneet Kumar Dutta and 2 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5