https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf
Abstract—In edge networks, distributed computing resources have been widely utilized to collaboratively perform a machine learning task by multiple nodes. However, the model training time in heterogeneous edge networks is becoming longer because of excessive computation and delay caused by slow nodes, namely stragglers. The parameter server even abandons stragglers which fail to return ...
https://scholarshare.temple.edu/bitstream/handle/20.500.12613/719/Badura_temple_0225E_10282.pdf
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Department of Management Information Systems, Temple University
https://scholarshare.temple.edu/items/c8cf7fff-0073-4574-a2fa-fa3b876662e7
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https://cis.temple.edu/~yu/research/D3Guard-Infocom19.pdf
Based on the high accuracy of action detection and the integration of 3 action results, we achieve a high accuracy of overall drowsy detection, which is no less than 94:31%. Fig. 8 shows the precision and recall for different types of drowsy driving actions and drowsy detection.
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https://community.mis.temple.edu/zuyinzheng/files/2016/07/Resume-Alvin-Z.Y.-Zheng-2016-Apr.pdf
2014 Zheng, Z., Hong, Y. & Pavlou, P. (2014), “Sequential or Simultaneous? Antecedents and Consequences of Search Strategies in Online Labor Markets”, in The 10th ...
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Course Descriptions As you review the detailed course descriptions, please note that the Temple Law School course numbering system provides some information that will be helpful in your course selection process. 0700 to 0799 = experiential courses offered in Philadelphia 0800 to 1100 = writing seminars offered in Philadelphia (0900 to 0902 are Guided Research) 0400 to 0699, and 5000 or higher ...