Search Results - "Ozdayi, Mustafa"
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1
Leveraging blockchain for immutable logging and querying across multiple sites
Published in BMC medical genomics (21-07-2020)“…Blockchain has emerged as a decentralized and distributed framework that enables tamper-resilience and, thus, practical immutability for stored data. This…”
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Journal Article -
2
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Published in 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) (01-12-2021)“…Federated Learning (FL) is a distributed machine learning protocol that allows a set of agents to collaboratively train a model without sharing their datasets…”
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Conference Proceeding -
3
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Published 29-11-2021“…Federated Learning (FL) is a distributed machine learning protocol that allows a set of agents to collaboratively train a model without sharing their datasets…”
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Journal Article -
4
Achieving Competitiveness in Online Problems
Published 08-01-2020“…In the setting of online algorithms, the input is initially not present but rather arrive one-by-one over time and after each input, the algorithm has to make…”
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Journal Article -
5
Fair Machine Learning under Limited Demographically Labeled Data
Published 03-06-2021“…Research has shown that, machine learning models might inherit and propagate undesired social biases encoded in the data. To address this problem, fair…”
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Journal Article -
6
Improving Accuracy of Federated Learning in Non-IID Settings
Published 14-10-2020“…Federated Learning (FL) is a decentralized machine learning protocol that allows a set of participating agents to collaboratively train a model without sharing…”
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Journal Article -
7
Generating massive complex networks with hyperbolic geometry faster in practice
Published in 2016 IEEE High Performance Extreme Computing Conference (HPEC) (01-09-2016)“…Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data…”
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Conference Proceeding -
8
Secure IoT Data Analytics in Cloud via Intel SGX
Published in 2020 IEEE 13th International Conference on Cloud Computing (CLOUD) (01-10-2020)“…The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure…”
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Conference Proceeding -
9
Leveraging Blockchain for Immutable Logging and Querying Across Multiple Sites
Published 13-01-2020“…Blockchain has emerged as a decentralized and distributed framework that enables tamper-resilience and, thus, practical immutability for stored data. This…”
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Journal Article -
10
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Published 19-05-2023“…Large Language Models (LLMs) are known to memorize significant portions of their training data. Parts of this memorized content have been shown to be…”
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Journal Article -
11
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
Published 14-10-2020“…Federated Learning (FL) is a distributed, and decentralized machine learning protocol. By executing FL, a set of agents can jointly train a model without…”
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Journal Article -
12
Secure IoT Data Analytics in Cloud via Intel SGX
Published 10-08-2020“…The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure…”
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Journal Article -
13
Defending against Backdoors in Federated Learning with Robust Learning Rate
Published 07-07-2020“…Federated learning (FL) allows a set of agents to collaboratively train a model without sharing their potentially sensitive data. This makes FL suitable for…”
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Journal Article -
14
Towards a Two-Tier Hierarchical Infrastructure: An Offline Payment System for Central Bank Digital Currencies
Published 14-12-2020“…Digital payments traditionally rely on online communications with several intermediaries such as banks, payment networks, and payment processors in order to…”
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Journal Article -
15
Generating massive complex networks with hyperbolic geometry faster in practice
Published 30-06-2016“…Generative network models play an important role in algorithm development, scaling studies, network analysis, and realistic system benchmarks for graph data…”
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Journal Article