409 citations · 670 across the 17 of their papers we have counts for
3 papers · 1 filter
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen +4
There is growing interest in applying distributed machine learning to edge computing, forming federated edge learning. Federated edge learning faces non-i.i.d. and heterogeneous da…
Federated Learning with Nesterov Accelerated Gradient
Zhengjie Yang, Wei Bao, Dong Yuan +2
Federated learning (FL) is a fast-developing technique that allows multiple workers to train a global model based on a distributed dataset. Conventional FL (FedAvg) employs gradien…
Online Metric Learning for Multi-Label Classification
Xiuwen Gong, Jiahui Yang, Dong Yuan +1
Existing research into online multi-label classification, such as online sequential multi-label extreme learning machine (OSML-ELM) and stochastic gradient descent (SGD), has achie…