68 citations · 148 across the 13 of their papers we have counts for
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cs.DC2024★ 14 cited
Workflow Optimization for Parallel Split Learning
Joana Tirana, Dimitra Tsigkari, George Iosifidis +1
Split learning (SL) has been recently proposed as a way to enable resource-constrained devices to train multi-parameter neural networks (NNs) and participate in federated learning…
cs.LG2024★ 1 cited
MP-SL: Multihop Parallel Split Learning
Joana Tirana, Spyros Lalis, Dimitris Chatzopoulos
Federated Learning (FL) stands out as a widely adopted protocol facilitating the training of Machine Learning (ML) models while maintaining decentralized data. However, challenges…