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Found 13 papers, 0 papers with code
UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis
In HFL, each edge device trains a local model using its respective data and transmits the updated model parameters to an edge server for local aggregation.
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
The convergence of communication and computation, along with the integration of machine learning and artificial intelligence, stand as key empowering pillars for the sixth-generation of communication systems (6G).
Manipulating Predictions over Discrete Inputs in Machine Teaching
Machine teaching often involves the creation of an optimal (typically minimal) dataset to help a model (referred to as the `student') achieve specific goals given by a teacher.
Characterization of the Global Bias Problem in Aerial Federated Learning
To this end, the paper proposes a channel-aware distribution and aggregation scheme to enforce equal contribution from all devices in the FL training as a means to resolve the global bias problem.
Equitable 6G Access Service via Cloud-Enabled HAPS for Optimizing Hybrid Air-Ground Networks
The evolvement of wireless communication services concurs with significant growth in data traffic, thereby inflicting stringent requirements on terrestrial networks.
Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks
Integrated space-air-ground networks promise to offer a valuable solution space for empowering the sixth generation of communication networks (6G), particularly in the context of connecting the unconnected and ultraconnecting the connected.
Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers
Applying this method to a number of linear classifiers under a variety of data dimensionality and sample size settings reveals that the classification performance loss due to non-optimal native hyperparameters can be compensated for by weight vector tuning.
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview
Following the recent progress in Terahertz (THz) signal generation and radiation methods, joint THz communications and sensing applications are shaping the future of wireless systems.
Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges
This paper overviews point-to-point (P2P) links for integrated satellite-aerial networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of wireless networks vision.
Viral Aerosol Concentration Characterization and Detection in Bounded Environments
The paper models the exhaled breath as a cloud which is emitted through the room continuously, and analyzes the temporal-spatial virus concentration by accounting for partial absorption and reflection at each side of the room.
Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques
This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks.
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
Datasets from the fields of bioinformatics, chemometrics, and face recognition are typically characterized by small samples of high-dimensional data.
Ultra-Massive MIMO Systems at Terahertz Bands: Prospects and Challenges
Terahertz (THz)-band communications are currently being celebrated as a key technology that could fulfill the increasing demands for wireless data traffic in the upcoming sixth-generation (6G) of wireless communications.
