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Found 8 papers, 0 papers with code
TrustFed: A Reliable Federated Learning Framework with Malicious-Attack Resistance
To address this issue, in this paper, we propose a hierarchical audit-based FL (HiAudit-FL) framework, with the aim to enhance the reliability and security of the learning process.
Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence
With the obtained FL hyperparameters and resource allocation, we design a MAML-based FL algorithm, called Automated Federated Learning (AutoFL), that is able to conduct fast adaptation and convergence.
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a promising way to address the tremendous growth on mobile data traffic.
Wireless Resource Management in Intelligent Semantic Communication Networks
The prosperity of artificial intelligence (AI) has laid a promising paradigm of communication system, i. e., intelligent semantic communication (ISC), where semantic contents, instead of traditional bit sequences, are coded by AI models for efficient communication.
Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation
Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users.
Nonparametric Estimation of the Fisher Information and Its Applications
First, an estimator proposed by Bhattacharya is revisited and improved convergence rates are derived.
Extraction automatique de contour de l\`evre \`a partir du mod\`ele CLNF (Automatic lip contour extraction using CLNF model)
Dans cet article nous proposons une nouvelle solution pour extraire le contour interne des l{\`e}vres d{'}un locuteur sans utiliser d{'}artifices.
