Zobrazeno 1 - 6
of 6
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
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
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
Autor:
Alessandro Crimi, Spyridon Bakas
This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tu
This book constitutes the refereed proceedings of the 17th International Conference on Information Security Practice and Experience, ISPEC 2022, held in Taipei, Taiwan, in November 2022. The 33 full papers together with 2 invited papers included in t
This book constitutes the refereed proceedings of the Second International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019, held in Denver, CO, USA, in November 2019. The 20 full papers and 11 short papers presented were carefully