Results 21 to 30 of about 72,357 (237)
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
IP-FL: Incentivized and Personalized Federated Learning
, 2023 Existing incentive solutions for traditional Federated Learning (FL) focus on individual contributions to a single global objective, neglecting the nuances of clustered personalization with multiple cluster-level models and the non-monetary incentives such as personalized model appeal for clients.
Khan, Ahmad Faraz +9 more
openaire +2 more sources
FL-Market: Trading Private Models in Federated Learning
2022 IEEE International Conference on Big Data (Big Data), 2022 The difficulty in acquiring a sufficient amount of training data is a major bottleneck for machine learning (ML) based data analytics. Recently, commoditizing ML models has been proposed as an economical and moderate solution to ML-oriented data acquisition.
Zheng, Shuyuan +4 more
openaire +2 more sources
Italian National Conference on Sensors, 2022 Recent technological developments, such as the Internet of Things (IoT), artificial intelligence, edge, and cloud computing, have paved the way in transforming traditional healthcare systems into smart healthcare (SHC) systems.
K. S. Arikumar +6 more
semanticscholar +1 more source
FL Games: A federated learning framework for distribution shifts
, 2022 Accepted as ORAL at NeurIPS Workshop on Federated Learning: Recent Advances and New Challenges.
Gupta, Sharut +4 more
openaire +3 more sources
Periodontal diseases and adverse pregnancy outcomes. Present and future
Periodontology 2000, EarlyView., 2023 Abstract For more than two decades the possible association between periodontal diseases and adverse pregnancy outcomes has been extensively evaluated. Numerous observational, intervention, and mechanistic studies have offered valuable information on this topic.
Yiorgos A. Bobetsis +3 more
wiley +1 more source
Federated Learning with Privacy-preserving and Model IP-right-protection [PDF]
, 2023 In the past decades, artificial intelligence (AI) has achieved unprecedented success, where statistical models become the central entity in AI. However, the centralized training and inference paradigm for building and using these models is facing more ...
Chan, Chee Seng +7 more
core +2 more sources
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing [PDF]
Neural Information Processing Systems, 2022 Federated learning (FL) strives to enable collaborative training of machine learning models without centrally collecting clients' private data. Different from centralized training, the local datasets across clients in FL are non-independent and ...
Jiawei Shao +3 more
semanticscholar +1 more source
Accelerating federated learning via momentum gradient descent [PDF]
, 2019 Federated learning (FL) provides a communication-efficient approach to solve machine learning problems concerning distributed data, without sending raw data to a central server. However, existing works on FL only utilize first-order gradient descent (GD)
Chen, Li +3 more
core +2 more sources
Mandate-driven networking eco-system : a paradigm shift in end-to-end communications [PDF]
, 2020 The wireless industry is driven by key stakeholders that follow a holistic approach of "one-system-fits-all" that leads to moving network functionality of meeting stringent End-to-End (E2E) communication requirements towards the core and cloud ...
DaSilva, L. A. +9 more
core +2 more sources