4 citations · 4 across the 3 of their papers we have counts for
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cs.LG2024
Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning
Jieming Bian, Lei Wang, Jie Xu
Federated Learning (FL) is a distributed machine learning approach that enables devices to collaboratively train models without sharing their local data, ensuring user privacy and…
cs.LG2024★ 2 cited
Federated Learning with Instance-Dependent Noisy Label
Lei Wang, Jieming Bian, Jie Xu
Federated learning (FL) with noisy labels poses a significant challenge. Existing methods designed for handling noisy labels in centralized learning tend to lose their effectivenes…
cs.LG2023
On the Local Cache Update Rules in Streaming Federated Learning
Heqiang Wang, Jieming Bian, Jie Xu
In this study, we address the emerging field of Streaming Federated Learning (SFL) and propose local cache update rules to manage dynamic data distributions and limited cache capac…