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TensorFlow

Publications associées (89)

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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

TensorFlow

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Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Contextual Stochastic Bilevel Optimization

An exact mapping from ReLU networks to spiking neural networks

Validating Automatic Speech Recognition and Understanding for Pre-Filling Radar Labels-Increasing Safety While Reducing Air Traffic Controllers' Workload

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

ADAGRAD Avoids Saddle Points

Tensor network investigation of the hard-square model

Neural tensor contractions and the expressive power of deep neural quantum states

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums

An exact mapping from ReLU networks to spiking neural networks

Tensor network investigation of the hard-square model

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

Contextual Stochastic Bilevel Optimization

Validating Automatic Speech Recognition and Understanding for Pre-Filling Radar Labels-Increasing Safety While Reducing Air Traffic Controllers' Workload

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums

ADAGRAD Avoids Saddle Points

D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning

Neural tensor contractions and the expressive power of deep neural quantum states

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search