Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pravin Chandran"'
Publikováno v:
AI, Machine Learning and Applications.
Federated Learning allows training of data stored in distributed devices without the need for centralizing training-data, thereby maintaining data-privacy. Addressing the ability to handle data heterogeneity (non-identical and independent distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93188c77461d012fe1a77c69fd98645f
https://doi.org/10.5121/csit.2021.111302
https://doi.org/10.5121/csit.2021.111302
Publikováno v:
ISQED
Statistical timing characterization for modeling On-Chip Variation (OCV) is critical in current technology nodes to avoid over-design and to improve design convergence and predictability. OCV characterization, however, is resource intensive as it inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d67c0dbc9003dba1a67eb5788c3f48a9
https://doi.org/10.1109/isqed51717.2021.9424316
https://doi.org/10.1109/isqed51717.2021.9424316
Publikováno v:
Benchmarking, Measuring, and Optimizing ISBN: 9783030495558
Bench
Bench
Performance of end-to-end neural networks on a given hardware platform is a function of its compute and memory signature, which in-turn, is governed by a wide range of parameters such as topology size, primitives used, framework used, batching strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bee7d18c352b6592e0b8eb3ba607d837
https://doi.org/10.1007/978-3-030-49556-5_28
https://doi.org/10.1007/978-3-030-49556-5_28
