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Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models

IACR Cryptology ePrint Archive
Deduplication is a vital preprocessing step that enhances machine learning model performance and saves training time and energy. However, enhancing federated learning through deduplication poses challenges, especially regarding scalability and potential ...
Aydin Abadi, Vishnu Asutosh Dasu, Sumanta Sarkar   +2 more
semanticscholar   +1 more source

Secure Enterprise Data Deduplication in the Cloud

2013 IEEE Sixth International Conference on Cloud Computing, 2013
With the advent of cloud computing as a new paradigm and technology, and the increased tendency of decision makers to envision a staged migration to cloud services, most enterprises are choosing to outsource their data to cloud storage providers, for better management of their IT resources, in terms of security, control, space and storage costs.
Fatema Rashid, Ali Miri, Isaac Woungang
openaire   +1 more source

Secure Auditing and Deduplicating Data in Cloud

IEEE Transactions on Computers, 2016
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data ...
Jingwei Li 0001, Jin Li 0002, Dongqing Xie, Zhang Cai   +3 more
openaire   +1 more source

Design of an exact data deduplication cluster

012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST), 2012
Data deduplication is an important component of enterprise storage environments. The throughput and capacity limitations of single node solutions have led to the development of clustered deduplication systems. Most implemented clustered inline solutions are trading deduplication ratio versus performance and are willing to miss opportunities to detect ...
Jürgen Kaiser, Dirk Meister, André Brinkmann, Sascha Effert   +3 more
openaire   +1 more source

Privacy in Cross-User Data Deduplication

Mobile Networks and Applications, 2018
With the ever increasing volume of digital data, using data deduplication techniques in archival storage has become imperative in large scale cloud systems. In a storage system based on a cross-user data deduplication technique, data is uploaded to the server by the client if only it has not been uploaded by him or any other clients previously ...
Hoda Jannati, Ebrahim Ardeshir-Larijani, Behnam Bahrak   +2 more
openaire   +1 more source

Encrypted Data Deduplication in Cloud Storage

2015 10th Asia Joint Conference on Information Security, 2015
Cloud storage is a remote storage service, where users can upload and download their data anytime and anywhere. However, it raises issues regarding privacy and data confidentiality because all the data are stored in the cloud storage. This is a subject of concern for users, and it affects their willingness to use cloud storage services.
Chun-I Fan, Shi-Yuan Huang, Wen-Che Hsu
openaire   +1 more source

Droplet: A Distributed Solution of Data Deduplication

2012 ACM/IEEE 13th International Conference on Grid Computing, 2012
Creating backup copies is the most commonly used technique to protect from data loss. In order to increase reliability, doing routinely backup is a best practice. Such backup activities will create multiple redundant data streams which is not economic to be directly stored on disk. Similarly, enterprise archival systems usually deal with redundant data,
Yang Zhang 0026, Yongwei Wu 0001, Guangwen Yang   +2 more
openaire   +1 more source

Block locality caching for data deduplication

Proceedings of the 6th International Systems and Storage Conference on - SYSTOR '13, 2013
Data deduplication systems discover and remove redundancies between data blocks by splitting the data stream into chunks and comparing a hash of each chunk with all previously stored hashes. Storing the corresponding chunk index on hard disks immediately limits the achievable throughput, as these devices are unable to support the high number of random ...
Dirk Meister, Jürgen Kaiser, André Brinkmann   +2 more
openaire   +1 more source

Blockchain-Assisted Fine-Grained Deduplication and Integrity Auditing for Outsourced Large-Scale Data in Cloud Storage

IEEE Internet of Things Journal
Cloud computing has emerged as a promising mode for storaging vast quantities of big data, which is vulnerable to potential security threats, making it urgent to ensure data confidentiality and integrity auditing.
Bingyun Liu, Xiaojun Zhang, Xingchun Yang, Yuan Zhang, Jingting Xue, Rang Zhou   +5 more
semanticscholar   +1 more source

Cooperative Memory Deduplication With Intel Data Streaming Accelerator

IEEE computer architecture letters
Memory deduplication plays a critical role in reducing memory consumption and the total cost of ownership (TCO) in hyperscalers, particularly as the advent of large language models imposes unprecedented demands on memory resources.
Houxiang Ji, Minho Kim, Seonmu Oh, Daehoon Kim, Nan Sung Kim   +4 more
semanticscholar   +1 more source