… Federatedlearning (FL) is an emerging paradigm that enables multiple devices to collaborate in training machine learning (ML) … In this article, we propose a communication-efficient FL …
… dictors is trained via federatedlearning. This method allows … with on-device data through federatedlearning. Motivated by … -efficient ensemble algorithms for federatedlearning, where …
B Luo, X Li, S Wang, J Huang… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
… To efficiently solve the cost minimization problem, we develop a low-cost sampling-based algorithm to learn the convergence related unknown parameters. We derive important solution …
… learning frameworks are needed, to enable the wireless devices to collaboratively build a shared learning … promising distributed learningalgorithms is the emerging federatedlearning (…
A Ghosh, J Chung, D Yin… - Advances in Neural …, 2020 - proceedings.neurips.cc
… We address the problem of FederatedLearning (FL) where users are distributed and partitioned into clusters. This setup captures settings where different groups of users have their own …
M Asad, A Moustafa, T Ito… - 2021 IEEE 24th …, 2021 - ieeexplore.ieee.org
… of the communication efficiency in federatedlearning. We begin with … federatedlearning and the need for communication efficientalgorithms and explains that federatedlearning can …
A Ghosh, J Chung, D Yin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… in order to perform more efficientfederatedlearning. For this new framework of clustered federatedlearning, we propose the Iterative Federated Clustering Algorithm (IFCA), which …
M Ribero, H Vikalo - arXiv preprint arXiv:2007.15197, 2020 - arxiv.org
… Abstract Federatedlearning (FL) ameliorates privacy concerns in settings where a central server coordinates learning from data distributed across many clients. The clients train locally …
… Federatedlearning is a powerful distributed learning scheme that allows numerous edge … first progressive training framework for efficient and effective federatedlearning. It inherently …