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Makoto Yamada
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Publications
- 2023
- [j43]Yuki Takezawa, Kenta Niwa, Makoto Yamada:
Communication Compression for Decentralized Learning With Operator Splitting Methods. IEEE Trans. Signal Inf. Process. over Networks 9: 581-595 (2023) - [c93]Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada:
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS 2023 - [i57]Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada:
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR abs/2305.11420 (2023) - [i55]Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada:
Necessary and Sufficient Watermark for Large Language Models. CoRR abs/2310.00833 (2023) - [i53]Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada:
Embarrassingly Simple Text Watermarks. CoRR abs/2310.08920 (2023) - 2022
- [i51]Yuki Takezawa, Kenta Niwa, Makoto Yamada:
Communication Compression for Decentralized Learning with Operator Splitting Methods. CoRR abs/2205.03779 (2022) - [i50]Yuki Takezawa, Kenta Niwa, Makoto Yamada:
Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization. CoRR abs/2205.11979 (2022) - [i44]Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada:
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR abs/2209.15505 (2022)
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