3 papers
cs.LG2026
Decentralized Federated Learning by Partial Message Exchange
Shan Sha, Shenglong Zhou, Xin Wang +2
Decentralized federated learning (DFL) has emerged as a transformative server-free paradigm that enables collaborative learning over large-scale heterogeneous networks. However, it…
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…