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cs.AI2026
FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
Mengqi Li, Wensheng Lin, Jinshuai Yang +1
Effective sequence modeling fundamentally requires balancing the retention of unbounded history with the high-resolution detection of abrupt short-term variations common in real-wo…
cs.AI2024
FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication
Yuna Yan, Xin Zhang, Lixin Li +4
In this paper, we address the problem of image semantic communication in a multi-user deployment scenario and propose a federated learning (FL) strategy for a Swin Transformer-base…