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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Xiaobo Zhou

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#federated learning Nov 2026

Transcending Memory Constraints in Federated Learning via Sequential Block-Wise Training

Federated Learning (FL) enables collaborative model training across distributed clients while preserving data privacy. However, the substantial memory footprint required for model training imposes a critical memory wall on resource-constrained edge devices, severely limiting their participation and compromising the inc...

Yebo Wu, Jing-Guang Li, Chunlin Tian et al. · 1 citation
Conference Jul 2026

Diagnosing Performance Divergence in Ethereum Execution Clients

Ethereum execution clients implement identical Ethereum Virtual Machine (EVM) semantics, yet can exhibit substantially different performance in practice. We study this divergence through a three-step systems analysis of two representative clients, Geth and Reth. First, across historical synchronization, live synchroniz...

Chon Kit Lao, Nora Sinong Lu, Jingyi Ning et al. · 0 citations
#graph neural networks Sep 2026

Malope: Memory-Aware and Locality-Preserved Graph Neural Network Training

Training GNNs on large-scale graphs imposes significant memory constraints for storing substantial amounts of graph structures and node features. This often necessitates the use of memory extensions such as SSDs, leading to a memory hierarchy with disparities in capacity and access speed. Existing approaches focus on m...

Junkun Shen, Yuezhi Che, Haoran Zhou et al. · 0 citations

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