Concept

Online machine learning

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Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Nirupam Gupta

In this article, we study the problem of Byzantine fault-tolerance in a federated optimization setting, where there is a group of agents communicating with a centralized coordinator. We allow up to

f

Byzantine-faulty agents, which may not follow a prescr ...

Piscataway2023

Online machine learning

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Modeling Visual Impairments with Artificial Neural Networks: a Review

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Improving K-means Clustering Using Speculation

Artificial intelligence for natural product drug discovery

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

Estimating and Improving the Robustness of Attributions in Text

Monotonicity Reasoning in the Age of Neural Foundation Models

A single-beat algorithm to discriminate farfield from nearfield bipolar voltage electrograms from the pulmonary veins

Validating functional redundancy with mixed generative adversarial networks

Fixing the problems of deep neural networks will require better training data and learning algorithms

Validating functional redundancy with mixed generative adversarial networks

Estimating and Improving the Robustness of Attributions in Text

Monotonicity Reasoning in the Age of Neural Foundation Models

Artificial intelligence for natural product drug discovery

A single-beat algorithm to discriminate farfield from nearfield bipolar voltage electrograms from the pulmonary veins

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

Modeling Visual Impairments with Artificial Neural Networks: a Review

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Fixing the problems of deep neural networks will require better training data and learning algorithms

Improving K-means Clustering Using Speculation