mailitics

Tag: aggregation

  • Byzantine Machine Learning: MultiKrum and an optimal notion of robustness

    Byzantine Machine Learning: MultiKrum and an optimal notion of robustness arXiv:2602.03899v1 Announce Type: new Abstract: Aggregation rules are the cornerstone of distributed (or federated) learning in the presence of adversaries, under the so-called Byzantine threat model. They are also interesting mathematical objects from the point of view of robust mean estimation. The Krum aggregation rule…

  • Federated Learning and Custom Aggregation Schemes

    Federated Learning and Custom Aggregation Schemes A practical guide to designing and analyzing robust aggregation strategies The post Federated Learning and Custom Aggregation Schemes appeared first on Towards Data Science. Salman Toor Go to original source

  • WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection

    WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection arXiv:2506.08066v1 Announce Type: new Abstract: Change Point Detection (CPD) aims to identify moments of abrupt distribution shifts in data streams. Real-world high-dimensional CPD remains challenging due to data pattern complexity and violation of common assumptions. Resorting to standalone deep neural networks, the current state-of-the-art detectors…

  • U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms

    U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms arXiv:2501.18084v1 Announce Type: new Abstract: Across various domains, the growing advocacy for open science and open-source machine learning has made an increasing number of models publicly available. These models allow practitioners to integrate them into their own contexts, reducing the need for extensive data labeling, training, and calibration.…