1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Semi-decentralized Federated Time Series Prediction with Client Availability Budgets
Yunkai Bao, Reza Safarzadeh, Xin Wang +1
Federated learning (FL) effectively promotes collaborative training among distributed clients with privacy considerations in the Internet of Things (IoT) scenarios. Despite of data…
cs.DC2024
Energy-efficient Federated Learning with Dynamic Model Size Allocation
M S Chaitanya Kumar, Sai Satya Narayana J, Yunkai Bao +2
Federated Learning (FL) presents a paradigm shift towards distributed model training across isolated data repositories or edge devices without explicit data sharing. Despite of its…
cs.LG2024★ 1 cited
Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks
Fan Dong, Henry Leung, Steve Drew
Federated learning offers a compelling solution to the challenges of networking and data privacy within aerial and space networks by utilizing vast private edge data and computing…