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Similarity Weighted Aggregation with Global Differential Privacy for Federated B

BACKGROUND

1 SIGNALFIRST DETECTED 5 August 2026

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5 Aug

REPORT · WHAT · ArXiv CS.AI

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9 Apr

Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing

arXiv:2604.05077v1 Announce Type: cross Abstract: Metal additive manufacturing (AM) enables the fabrication of safety-critical components, but reliable quality assurance depends

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27 Mar

Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

arXiv:2603.25334v1 Announce Type: new Abstract: Distributed intelligence in industrial networks increasingly integrates sensing, communication, and computation across

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23 Jul

FedCC: A Low-Resource Federated Adaptation of Foundation Models for Robust Corpus Callosum localization in Fetal Ultrasound Images

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9 Jul

PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning

arXiv:2607.06612v1 Announce Type: cross Abstract: Federated Learning (FL) enables multiple clients to collaboratively train machine learning models while retaining data locality,

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28 Jul

DP-FedSOFIM: Second-Order Federated Optimization Under Differential Privacy Without Extra Privacy Cost [R]

<div class="md"><p>Most differentially private federated learning methods are still fundamentally first-order: clip per-example gradients, add Gaussian noise,

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30 Apr

Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization

arXiv:2604.26073v1 Announce Type: cross Abstract: Industrial chemical plants often operate under strict data confidentiality constraints, making centralized data-driven process

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