16 citations · 44 across the 6 of their papers we have counts for
4 papers · 1 filter
Federated Two Stage Decoupling With Adaptive Personalization Layers
Hangyu Zhu, Yuxiang Fan, Zhenping Xie
Federated learning has gained significant attention due to its groundbreaking ability to enable distributed learning while maintaining privacy constraints. However, as a consequenc…
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu +1
Federated learning is an emerging distributed machine learning framework for privacy preservation. However, models trained in federated learning usually have worse performance than…
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu, Yaochu Jin
Federated learning is a distributed machine learning approach to privacy preservation and two major technical challenges prevent a wider application of federated learning. One is t…
Multi-objective Evolutionary Federated Learning
Hangyu Zhu, Yaochu Jin
Federated learning is an emerging technique used to prevent the leakage of private information. Unlike centralized learning that needs to collect data from users and store them col…