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Found 6 papers, 3 papers with code
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
(3) However, algorithms such as FedDyn and SCAFFOLD are more prone to catastrophic failures without the support of additional techniques such as gradient clipping.
Urban Scene Diffusion through Semantic Occupancy Map
Generating unbounded 3D scenes is crucial for large-scale scene understanding and simulation.
Prometheus: Infrastructure Security Posture Analysis with AI-generated Attack Graphs
In this paper, we propose Prometheus, an advanced system designed to provide a detailed analysis of the security posture of computing infrastructures.
From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models
We show that this latter insight can be used to enhance the detection of backdoor-poisoned training data.
Riemannian Multinomial Logistics Regression for SPD Neural Networks
Besides, our framework offers a novel intrinsic explanation for the most popular LogEig classifier in existing SPD networks.
Flame: Simplifying Topology Extension in Federated Learning
We present Flame, a new system that provides flexibility of the topology configuration of distributed FL applications around the specifics of a particular deployment context, and is easily extensible to support new FL architectures.
