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Open access Oct 2026

H-FedSN: personalized sparse networks for efficient and accurate hierarchical federated learning for IoT applications

With the rapid development of the Internet of Things (IoT), federated learning (FL) has gained increasing attention for its privacy-preserving use of distributed data. However, conventional two-tier FL architectures are poorly suited to the hierarchical and heterogeneous nature of real-world IoT systems. Hierarchical...

Jie-Chao Gao, Yuan-Gang Li, Jie Wang et al. · 0 citations
#natural language process... Preprint Oct 2026

Byte Language Models: Scaling, Emergent Abstractions, and Information Allocation

Tokenizer-free language models remove the inductive bias of fixed tokenizers by modeling text directly as bytes, but the resulting longer sequences substantially increase computation and eliminate explicit text abstractions. We ask whether this additional computation can be useful, and whether standard Transformers can...

Jie Wang, Shi-Wei Luo, Qi Zhang et al. · 0 citations

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