Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network

arXiv:2404.09443v1 Announce Type: new
Abstract: Federated learning is an emerging paradigm for decentralized training of machine learning models on distributed clients, without revealing the data to the central server. Most existing works have focused on horizontal or vertical data distributions, where each client possesses different samples with shared features, or each client fully shares only sample indices, respectively. However, the hybrid scheme is much less studied, even though it is much more common in the real world. Therefore, in this …

abstract algorithm arxiv client convolutional neural network cs.dc cs.lg data decentralized distributed federated learning graph hybrid machine machine learning machine learning models network neural network paradigm samples server training type