Add to ORKGFederated learning (FL) is a promising technical support to the vision of ubiquitous artificial intelligence in the sixth generation (6G) wireless communication network. However, traditional FL heavily relies on a trusted centralized server. Besides, FL is vulnerable to poisoning attacks, and the global aggregation of model updates makes the private training data under the risk of being reconstructed. What's more, FL suffers from efficiency problem due to heavy communication cost. Although decentralized FL eliminates the problem of the central dependence of traditional FL, it makes other problems more serious. In this paper, we propose BlockDFL, an efficient fully peer-to-peer (P2P) framework for decentralized FL. It integrates gradient com...
Federated learning (FL) enables collaborative training of machine learning (ML) models while preserv...
We focus on the problem of efficiently deploying a federated learning training task in a decentraliz...
Federated learning is one of the most appealing alternatives to the standard centralized learning pa...
Machine learning algorithms are undoubtedly one of the most popular algorithms in recent years, and ...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
Federated learning (FL) is a promising decentralized deep learning technology, which allows users to...
Federated learning (FL) is a promising framework for distributed machine learning that trains models...
International audienceFederated learning (FL) is a distributed machine learning (ML) technique that ...
Federated learning (FL) has sparked extensive interest in exploiting the private data on clients' lo...
Federated learning enables the training of machine learning models on isolated data islands but also...
One of the new trends in the field of artificial intelligence is federated learning (FL), which will...
Federated learning (FL) is a type of machine learning where devices locally train a model on their p...
Abstract Machine Learning (ML) and Artificial Intelligence (AI) techniques are widely adopted in th...
Federated learning (FL) is known to perform machine learning tasks in a distributed manner. Over the...
Also available on: https://researchrepository.ucd.ie/server/api/core/bitstreams/a28e74a0-03f8-4f91-a...
Federated learning (FL) enables collaborative training of machine learning (ML) models while preserv...
We focus on the problem of efficiently deploying a federated learning training task in a decentraliz...
Federated learning is one of the most appealing alternatives to the standard centralized learning pa...
Machine learning algorithms are undoubtedly one of the most popular algorithms in recent years, and ...
Federated Learning (FL) has emerged as a powerful paradigm to train collaborative machine learning (...
Federated learning (FL) is a promising decentralized deep learning technology, which allows users to...
Federated learning (FL) is a promising framework for distributed machine learning that trains models...
International audienceFederated learning (FL) is a distributed machine learning (ML) technique that ...
Federated learning (FL) has sparked extensive interest in exploiting the private data on clients' lo...
Federated learning enables the training of machine learning models on isolated data islands but also...
One of the new trends in the field of artificial intelligence is federated learning (FL), which will...
Federated learning (FL) is a type of machine learning where devices locally train a model on their p...
Abstract Machine Learning (ML) and Artificial Intelligence (AI) techniques are widely adopted in th...
Federated learning (FL) is known to perform machine learning tasks in a distributed manner. Over the...
Also available on: https://researchrepository.ucd.ie/server/api/core/bitstreams/a28e74a0-03f8-4f91-a...
Federated learning (FL) enables collaborative training of machine learning (ML) models while preserv...
We focus on the problem of efficiently deploying a federated learning training task in a decentraliz...
Federated learning is one of the most appealing alternatives to the standard centralized learning pa...