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Robust Federated Recommendation System [article]

Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan Kankanhalli, Gang Chen
2020 arXiv   pre-print
Empirically, we confirm the efficacy of our robust learning strategy employing four datasets in a federated recommendation system.  ...  Federated recommendation systems can provide good performance without collecting users' private data, making them attractive.  ...  Robust federated recommendation system.  ... 
arXiv:2006.08259v1 fatcat:boav3q2s5zgv5o3u5v5sxya6ti

Federated Search and Recommendation

Dileepa JAYAKODY, Nirojan SELVANATHAN, Violeta Damjanovic-Behrendt
2020 Zenodo  
In this paper, we present our solution to implement a federated search and recommendation systems for digital platforms, as designed in the ongoing eFactory and NIMBLE projects.  ...  The aim is to create a federation of several digital platforms, while overcoming the interoperability between different platforms, tools and services.  ...  Federated search and recommendation in eFactory Our solution to a federated search and recommendation system design in eFactory, requires the following: firstly, to achieve a technical federation of digital  ... 
doi:10.5281/zenodo.3951108 fatcat:hehwbj3kyff7la732p22qb5asq

Introduction to the Special Section on Artificial Intelligence Security: Adversarial Attack and Defense

Xiaojiang Du, Willy Susilo, Mohsen Guizani, Zhihong Tian
2021 IEEE Transactions on Network Science and Engineering  
Bosri et al. in "Integrating Blockchain with Artificial Intelligence for Privacy-Preserving in Recommender Systems" solved the problem in the current recommender system, which was collecting customer's  ...  Patel et al. in "KiRTi: A Blockchain-based Credit Recommender System for Financial Institutions" propose KiRTi, a deep-learning-based credit-recommender scheme for public blockchain to facilitate smart  ... 
doi:10.1109/tnse.2021.3073637 fatcat:ib5qh53qq5bu5hrfjejm3fp76i

California ACEP Firearm Injury Prevention Policy

Jorge Fernandez, University of California, San Diego, Department of Emergency Medicine, San Diego, California, Taylor Nichols, Zahir Basrai, Randall Young, Michael Gertz, Marc Futernick, Andrew Fenton
2021 Western Journal of Emergency Medicine  
a national database system.  ...  It recognizes and frames firearm injuries as a public health epidemic requiring allocation of robust resources, including increased governmental funding of high-quality research and the development of  ...  We recommend robust funding (federal and otherwise) of research on firearm injury and evidence-based prevention as well as its impact on public health and safety.  ... 
doi:10.5811/westjem.2020.11.50900 pmid:33856310 pmcid:PMC7972396 fatcat:mkikygunfnbutotxicwu5enaci

Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System

John Wilkin, Leslie Rosenfeld, Arthur Allen, Rebecca Baltes, Antonio Baptista, Ruoying He, Patrick Hogan, Alexander Kurapov, Avichal Mehra, Josie Quintrell, David Schwab, Richard Signell (+1 others)
2017 Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology  
Federal partners in IOOS.  ...  Integrated Ocean Observing System (IOOS ® ) and the Global Ocean Observing System (GOOS).  ...  Though these systems might not meet federal requirements for operational robustness and reliability, nevertheless many user communities find the immediate environmental information served by RA models  ... 
doi:10.1080/1755876x.2017.1322026 fatcat:7zcoxdxbw5hbrfem4kvkkeuvze

Byzantine-Robust Federated Linear Bandits [article]

Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
2022 arXiv   pre-print
Standard federated learning algorithms applied to this setting are vulnerable to Byzantine attacks on even a small fraction of agents.  ...  We propose a novel algorithm with a robust aggregation oracle that utilizes the geometric median.  ...  Hence, it is vital that the federated recommendation system is robust to such corruptions.  ... 
arXiv:2204.01155v1 fatcat:64deqod4xfcmnbj34jtybxvzpa

Cali3F: Calibrated Fast Fair Federated Recommendation System [article]

Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao
2022 arXiv   pre-print
Specific to recommendation systems, many federated recommendation algorithms have been proposed to realize the privacy-preserving collaborative recommendation.  ...  To address these problems, in this paper, we first propose a personalized federated recommendation system training algorithm to improve the recommendation performance fairness.  ...  Unfortunately, none of the aforementioned methods incorporates the benefits of deep networks into Federated Recommendation Systems (FedRS).  ... 
arXiv:2205.13121v1 fatcat:gqcojtwmjzfstmidfbf5jyxun4

National Data Services Framework (NDSF) Summit 2020: Summary and Recommendations

Attendees Of The 2020 NDSF Summit, Mark Leggott, Robyn Nicholson
2020 Zenodo  
Participant feedback is summarized and categorized, highlighting emerging themes and overarching recommendations.  ...  reinforce a quality federated system.  ...  A robust, centralized identity management system would also enhance security and interoperability.  ... 
doi:10.5281/zenodo.4002141 fatcat:v4zyqzwtbjbtxjochh3phzmjoq

Children's Charter and Convention Rights in Canada: An Advocacy Perspective

Kathy Vandergrift
2017 Canadian Journal of Children s Rights / Revue canadienne des droits des enfants  
federal system of governance works for young people.  ...  This paper presents a case for incorporating the Convention into Canadian law; it also argues that more robust implementation of the Convention through Canadian law would improve the way that Canada's  ...  to ensure implementation by all governing bodies in Canada's federal system of governance.  ... 
doi:10.22215/cjcr.v4i1.91 fatcat:rcgoxvvhtna6flbnhdvrlnnq7m

A National Research Strategy to Reduce Firearm-Related Injury and Death: Recommendations from the Health Policy Research Subcommittee of the Society of General Internal Medicine (SGIM)

Rhea E Powell, Chana A Sacks
2020 Journal of general internal medicine  
These recommendations include (1) development of a shared national research agenda to address firearm-related injury and death; (2) allocation of federal funds specifically for research related to firearm  ...  In part, research has been stymied by decades-old language in federal legislation that was interpreted as prohibiting federal funding for firearm injury-related research.  ...  Specifically, we recommend (1) defining a national research agenda to address firearm-related injury and death; (2) allocation of federal funds specifically for research related to firearmrelated injury  ... 
doi:10.1007/s11606-020-05850-x pmid:32410123 pmcid:PMC7351911 fatcat:6ren6u4qubhehb6rvwd3iopcua

US tries to stem antimicrobial resistance

P. Webster
2014 CMAJ - Canadian Medical Association Journal  
well as drug resistance from "farm to fork" is "fairly robust."  ...  Substantial improvements in federal coordination of surveillance such as those recommended by AMMI are "not beyond our capacity," Mulvey acknowledges. "We're taking that report very seriously."  ... 
doi:10.1503/cmaj.109-4917 pmid:25316896 pmcid:PMC4216252 fatcat:cezhp22t35ehlisyqamidetkda

Semantic Web Technologies And Big Data Infrastructures: Sparql Federated Querying Of Heterogeneous Big Data Stores

Stasinos Konstantopoulos, Angelos Charalambidis, Giannis Mouchakis, Antonis Troumpoukis, Jürgen Jakobitsch, Vangelis Karkaletsis
2016 Zenodo  
way to make it transparent for the client applications to query federations of such heterogeneous systems.  ...  The paper presents an extension of the Semagrow federated SPARQL query processor that is able to seamlessly federated SPARQL endpoints, Cassandra databases, and Solr databases, and discusses future directions  ...  Semagrow is such a federated query processing system 3 that provides a single SPARQL endpoint that federates multiple remote SPARQL endpoints, transparently optimizing queries and dynamically integrating  ... 
doi:10.5281/zenodo.160170 fatcat:ie53rcd23bgbda4umsmzyiundm

National Academies Report Calls for Substantial Reforms for US Nursing Homes

Joan Stephenson
2022 JAMA Health Forum  
The report also said a more rational and robust system of financing nursing home care is needed and recommended moving toward a federal benefit "that would expand access and advance equity for all adults  ...  However, it noted that "robust evidence" demonstrates that requiring greater numbers of more qualified nursing home staff improves quality of care.  ... 
doi:10.1001/jamahealthforum.2022.1415 fatcat:3sdtgwzd6ff5tnydkh5z5ssgau

Recommendations to Improve Downloads of Large Earth Observation Data

Rahul Ramachandran, Christopher Lynnes, Kathleen Baynes, Kevin Murphy, Jamie Baker, Jamie Kinney, Ariel Gold, Jed Sundwall, Mark Korver, Allison Lieber, William Vambenepe, Matthew Hancher (+6 others)
2018 Data Science Journal  
This paper presents recommendations distilled from use cases provided by three cloud vendors (Amazon, Google, and Microsoft) and are based on the vendors' interactions with data systems at different Federal  ...  These recommendations can be used to evaluate and improve existing data systems for high-volume data transfers, and their adoption can lead to cloud vendors utilizing a common methodology.  ...  These recommendations identify the need for a single, authoritative catalog that contains all the metadata records for the data holdings of a federated data system, as well as the need for improved data  ... 
doi:10.5334/dsj-2018-002 fatcat:h6qy6vqs6jh2tg635c75p7ns6q

Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks [article]

Shijie Zhang, Hongzhi Yin
2022 arXiv   pre-print
However, the privacy issues in federated recommender systems have been rarely explored.  ...  An emerging practice is to implement recommender systems in the federated setting, which enables all user devices to collaboratively learn a shared global recommender while keeping all the training data  ...  These aforementioned limitations motivate us to propose a novel privacy-aware federated recommender system that significantly improve both recommendation effectiveness and robustness against attribute  ... 
arXiv:2205.11857v1 fatcat:jgoc5raoyrgwdnadsi66czzray
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