Vertical Federated Learning
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Related Articles from SNS
CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning
arXiv:2606.08027v1 Announce Type: new Abstract: Vertical federated learning (VFL) is a distributed learning paradigm that leverages vertically partitioned features across isolated parties without sharing raw samples; however, it remains vulnerable to active sample reconstruction attacks. Existing defenses fail to achieve a satisfactory trade-off between model utility and privacy protection, due to either suppressing task-relevant information alongside privacy-sensitive features or relying on...
Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning
arXiv:2605.20282v2 Announce Type: replace Abstract: Machine unlearning in Vertical Federated Learning (VFL) has attracted growing interest, yet existing methods certify forgetting solely using output-level metrics. We challenge these claims by introducing Mirage, a representation-level auditing framework comprising four complementary diagnostics: Linear Probe Recovery (LPR), Centered Kernel Alignment (CKA), Feature Separability Scoring, and Layer-Wise Recovery Analysis. Through experiments...
The DOGE Boys Get VC Funding to Support Their Latest Enterprise
Former members of the so-called Department of Government Efficiency (DOGE) have launched a startup to, they say, bring “DOGE for the private sector.” Their holding company, called Special, has backing from billionaire Marc Andreessen’s venture capital firm a16z and several other former DOGE members. In a post on a16z’s Substack, Nate Cavanaugh and Justin Fox, who led DOGE’s efforts at several government agencies, write that their startup will build “an operating system to transform critical...
Amplified Arctic iceberg traffic reshapes benthic biodiversity
Abstract The Arctic is undergoing rapid warming, resulting in retreating sea ice and glaciers1, yet how cryospheric changes propagate into the deep ocean remains poorly understood2. Here we identify a climate-driven mechanism linking accelerating glacier disintegration to an increase in deep-sea hard-bottom habitats far beyond calving fronts. Seafloor observations in Fram Strait show a localized increase in the density and patchiness of dropstones delivered by debris-laden icebergs.