WebJun 30, 2024 · In this paper, we propose a unified fully-dynamic robust coreset framework for a class of optimization problems which is termed continuous-and-bounded learning. … WebIn this paper, we propose a novel robust coreset method for the {\em continuous-and-bounded learning} problems (with outliers) which includes a broad range of popular …
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WebMar 16, 2024 · Hanlin’s very first full-sized work, Robust Coreset Construction for Distributed Machine Learning, finally got accepted into JSAC Special Issue on Advances in Artificial Intelligence and Machine Learning for Networking. Congratulations, Hanlin! I will share the camera-ready version later, but the main idea is already captured in this arXiv version. WebFeb 4, 2024 · I fundamentally believe that big companies can drive big change. Over my 25 years of experience at Environmental Defense Fund -- an environmental nonprofit that partners with business -- I've led ... meaning of waif
Robust coreset construction for distributed machine learning
WebJun 15, 2024 · This paper provides two versions of a partitioned robust algorithm for the problem of maximizing a monotone submodular function subject to a cardinality constraint, with two added twists: the computation is distributed across a number of machines, and the solution is robust against adversarial removals. 7 PDF WebMar 1, 2024 · Moreover, the coreset-based method is extended to answer the problem. In addition, sampling techniques are adopted to accelerate query processing under these two circumstances. Extensive experiments verify the effectiveness of our proposed Robust-Sieving algorithm and the coreset-based algorithms with or without sampling. WebHowever, a robust, end-to-end training approach, like adversarial training, is yet to be discovered for backdoor poisoned data. In this paper, we take the first step toward such methods by developing a robust training framework, COLLIDER, that selects the most prominent samples by exploiting the underlying geometric structures of the data. meaning of waheguru