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central-control - Temple University

https://cis.temple.edu/~tug29203/20-5590/lectures/central-control.pdf

If a Switch finds a shorter path to the Controller, way authentication with it before advertising route. Therefore, the minimum spanning the Controller, hop-by-hop as each Switch Authentication is done using the preconfigured sure that a misbehaving node cannot masquerade or another Switch. If authentication is successful, ates an encrypted connection with the Controller communication between ...

Mutual Risk Sharing and Fintech: The Case of Xiang Hu Bao

https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/XiangHuBao-main-2022-03-23.pdf

The significant progress in information technologies promotes new venues in risk sharing and risk management practices (OECD, 2017). Just as peer-to-peer (P2P) lending platforms connected un-or under-financed borrowers to lenders, emerging fintech platforms can also be leveraged to reach traditionally un-insured or under-insured customers.2 This is exemplified by Xiang Hu Bao (XHB, meaning ...

Microsoft Word - Article B Bricker.doc

https://sites.temple.edu/ticlj/files/2017/02/27.1.Bricker-TICLJ.pdf

Long ago, American legislatures and courts rejected such a defense for various reasons that make sense under both a utilitarian and retributivist model of punishment.2 Prior to developments in modern medicine, many injuries that are treatable today led to death3 and were treated as murder under different theories such as depraved heart murder. Further, based on the immutable facts in the above ...

Chapter 5 Network Layer: The Control Plane - cis.temple.edu

https://cis.temple.edu/~tug29203/22spring-4319/lectures/ch5b-2.pdf

Chapter 5 Network Layer: The Control Plane A note on the use of these Powerpoint slides:

Joint Dynamic Grouping and Gradient Coding for Time-critical ...

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 ...

location_mobicom.dvi - Temple University

https://cis.temple.edu/~jiewu/teaching/Spring%202013/01-savvides-localization-wireless-sensor-networks-fine-grained.pdf

Abstract— Wireless communication systems have become increasingly common because of advances in radio and embedded system technologies. In recent years, a new class of applications that networks these wireless de-vices together is evolving. A representative of this class that has received considerable attention from the research community is the wireless sensor network. Such a sensor ...

Directional and Explainable Serendipity Recommendation

https://cis.temple.edu/~jiewu/research/publications/Publication_files/jiang_www_2020.pdf

ABSTRACT Serendipity recommendation has attracted more and more atten-tion in recent years; it is committed to providing recommendations which could not only cater to users’ demands but also broaden their horizons. However, existing approaches usually measure user-item relevance with a scalar instead of a vector, ignoring user preference direction, which increases the risk of unrelated ...

Balancing Privacy and Accuracy using Significant Gradient Protection in ...

https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf

Motivated by these aforementioned issues, we aim to im-prove the model accuracy and availability while ensuring privacy protection by balancing privacy and accuracy of DP-FL.