Topics in machine learning

Related publications (1,000)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Topics in machine learning

Graph Chatbot

Chat with Graph Search

Predicting party switching through machine learning and open data

Model agnostic methods meta-learn despite misspecifications

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification

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

Enriching the Computational Toolbox for Organocatalysis

Stochastic adaptive resampling for the estimation of discrete choice models

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

Learning Robust and Adaptive Representations: from Interactions, for Interactions

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification

Predicting party switching through machine learning and open data

Enriching the Computational Toolbox for Organocatalysis

Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

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

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways

Model agnostic methods meta-learn despite misspecifications

Stochastic adaptive resampling for the estimation of discrete choice models