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Found 2 papers, 1 papers with code
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation
Recently, federated learning (FL) has emerged as a popular technique for edge AI to mine valuable knowledge in edge computing (EC) systems.
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
Federated Learning (FL) has emerged to allow multiple clients to collaboratively train machine learning models on their private data.
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