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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.LG2024
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
Ali Abbasi, Fan Dong, Xin Wang +3
Federated learning (FL) provides a promising collaborative framework to build a model from distributed clients, and this work investigates the carbon emission of the FL process. Cl…