Risultati della ricerca - Distribution evolution algorithm

  1. 21

    Modifying the Asynchronous Jacobi Method for Data Corruption Resilience di Vogl, Christopher J., Atkins, Zachary, Fox, Alyson, Miedlar, Agnieszka, Ponce, Colin

    Pubblicazione 2022
    Sommario: “... be realized. Motivated by algorithm-based fault tolerance, a variant of the asynchronous Jacobi (ASJ) method...”
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    Preprint
  2. 22

    Multimodal Online Federated Learning with Modality Missing in Internet of Things di Wang, Heqiang, Liu, Xiang, Zhong, Xiaoxiong, Chen, Lixing, Liu, Fangming, Zhang, Weizhe

    Pubblicazione 2025
    Sommario: “... tasks. This evolution necessitates the adoption of distributed learning strategies to effectively handle...”
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    Preprint
  3. 23

    Decentralized AI: Permissionless LLM Inference on POKT Network di Olshansky, Daniel, Colmeiro, Ramiro Rodriguez, Li, Bowen

    Pubblicazione 2024
    Sommario: “.... Through its Relay Mining algorithm, POKT creates a transparent marketplace where costs and earnings...”
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    Preprint
  4. 24

    Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks di Mohsin, Muhammad Ahmed, Umer, Muhammad, Umar, Amara, Abou-Zeid, Hatem, Hassan, Syed Ali

    Pubblicazione 2025
    Sommario: “... and enable efficient computation offloading. We examine mobile edge computing (MEC) and its evolution toward...”
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    Preprint
  5. 25

    Adacc: An Adaptive Framework Unifying Compression and Activation Recomputation for LLM Training di Chen, Ping, Deng, Zhuohong, Li, Ping, He, Shuibing, Zhu, Hongzi, Zheng, Yi, Wang, Zhefeng, Huai, Baoxing, Guo, Minyi

    Pubblicazione 2025
    Sommario: “... challenges: (1) it introduces layer-specific compression algorithms that mitigate accuracy loss by accounting...”
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    Preprint
  6. 26

    On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments di Wang, Leo Muxing, Yang, Pengkun, Su, Lili

    Pubblicazione 2024
    Sommario: “... of heterogeneity in the performance of the federated versions of classic reinforcement learning algorithms...”
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    Preprint
  7. 27

    Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States di Adamski, Jakub, Brown, Oliver Thomson

    Pubblicazione 2025
    Sommario: “... approximate full quantum state evolution. In this study, we expand the MPS site tensors beyond local memory...”
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    Preprint
  8. 28

    Trackable Agent-based Evolution Models at Wafer Scale di Moreno, Matthew Andres, Yang, Connor, Dolson, Emily, Zaman, Luis

    Pubblicazione 2024
    Sommario: “...), hold particular promise. However, practical challenges remain in conducting informative evolution...”
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    Preprint
  9. 29

    Trackable Island-model Genetic Algorithms at Wafer Scale di Moreno, Matthew Andres, Yang, Connor, Dolson, Emily, Zaman, Luis

    Pubblicazione 2024
    Sommario: “... digital evolution on the WSE platform. We present a tracking-enabled asynchronous island-based genetic...”
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    Preprint
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  11. 31

    Distributed Quantum Simulation di Feng, Tianfeng, Xu, Jue, Yu, Wenjun, Ye, Zekun, Yao, Penghui, Zhao, Qi

    Pubblicazione 2024
    Sommario: “... protocols by exploring three quantum simulation algorithms, including the product formula, the truncated...”
    Testo
    Preprint
  12. 32

    Vector-Centric Machine Learning Systems: A Cross-Stack Approach di Jiang, Wenqi

    Pubblicazione 2025
    Sommario: “...Today, two major trends are shaping the evolution of ML systems. First, modern AI systems...”
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    Preprint
  13. 33

    A Portable Multi-GPU Solver for Collisional Plasmas with Coulombic Interactions di Almgren-Bell, James, Awar, Nader Al, Geethakrishnan, Dilip S, Gligoric, Milos, Biros, George

    Pubblicazione 2025
    Sommario: “... discretize kinetic formulations that capture the time evolution of the probability density function...”
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    Preprint
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  16. 36

    From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations di Gangadharan, Kapilya, Malathi, K., Purandaran, Anoop, Subramanian, Barathi, Jeyaraj, Rathinaraja, Jung, Soon Ki

    Pubblicazione 2024
    Sommario: “...This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy...”
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    Preprint
  17. 37

    On Evaluating Performance of LLM Inference Serving Systems di Agrawal, Amey, Kedia, Nitin, Agarwal, Anmol, Mohan, Jayashree, Kwatra, Nipun, Kundu, Souvik, Ramjee, Ramachandran, Tumanov, Alexey

    Pubblicazione 2025
    Sommario: “...The rapid evolution of Large Language Model (LLM) inference systems has yielded significant...”
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    Preprint
  18. 38

    HyperOffload: Graph-Driven Hierarchical Memory Management for Large Language Models on SuperNode Architectures di Liu, Fangxin, Zhang, Qinghua, Shen, Hanjing, Liang, Zhibo, Jiang, Li, Guan, Haibing, Bao, Chong, Jin, Xuefeng

    Pubblicazione 2026
    Sommario: “...The rapid evolution of Large Language Models (LLMs) towards long-context reasoning and sparse...”
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    Preprint
  19. 39

    Testing Spreading Behavior in Networks with Arbitrary Topologies di Modanese, Augusto, Yoshida, Yuichi

    Pubblicazione 2023
    Sommario: “... the case where we test a single time step of evolution and where the evolution spans several time steps...”
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    Preprint
  20. 40

    Simple Opinion Dynamics for No-Regret Learning di Lazarsfeld, John, Alistarh, Dan

    Pubblicazione 2023
    Sommario: “... for this setting, inspired by opinion dynamics that are well-studied for other algorithmic tasks in the GOSSIP...”
    Testo
    Preprint