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Found 10 papers, 2 papers with code
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
Federated learning (FL) allows multiple parties (distributed devices) to train a machine learning model without sharing raw data.
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
In this paper, we find that ubiquitous time series (TS) forecasting models are prone to severe overfitting.
Joint Service Caching, Communication and Computing Resource Allocation in Collaborative MEC Systems: A DRL-based Two-timescale Approach
Meeting the strict Quality of Service (QoS) requirements of terminals has imposed a signiffcant challenge on Multiaccess Edge Computing (MEC) systems, due to the limited multidimensional resources.
Social-Mobility-Aware Joint Communication and Computation Resource Management in NOMA-Enabled Vehicular Networks
The existing computation and communication (2C) optimization schemes for vehicular edge computing (VEC) networks mainly focus on the physical domain without considering the influence from the social domain.
Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
MABO allocates a process to each GPU via a queue mechanism, and then creates multiple trials at a time for asynchronous parallel search, which greatly reduces the search time.
Vehicular Behavior-Aware Beamforming Design for Integrated Sensing and Communication Systems
Then, we formulate a VBA-ISAC beamforming design problem to sense the AoI while maximizing the spectral efficiency of uplink communications, where a trade-off factor is introduced to balance the communication and sensing performance.
Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing.
Differential Reflecting Modulation for Reconfigurable Intelligent Surface Based Communications
Reconfigurable intelligent surface (RIS) based communications have emerged as a new paradigm.
Signal Shaping for Non-Uniform Beamspace Modulated mmWave Hybrid MIMO Communications
Specifically, we firstly propose a joint optimization based signal shaping (JOSS) approach, in which the symbol vector sets used for all analog precoder activation states are jointly optimized by solving a series of quadratically constrained quadratic programming (QCQP) problems.
Reflecting Modulation
This paper proposes a reflecting modulation (RM) scheme for RIS-based communications, where both the reflecting patterns and transmit signals can carry information.
