Tag
#Semantic communications
#6g
#semantic learning
#Intelligent wireless networks
#ML
#Ai
#semantic communication
#AI-native
#contextual reasoning
#beyond 6G
#Joint source-channel coding
#time-division duplexing (TDD)
#spectral efficiency
#pilotcontamination
#orthogonal frequency division multiplexing (OFDM)
#massive MIMO systems
#Channel estimation
#Large Language Model
#Federated Learning
#energy efficiency
#Machine Learning
#T5 model
#cognition semantic communication
#semantic language
#image communications
#deep neural networks
#single-carrier transmission
#precoding anddetection
#agentic ai
#data models
#error correction
#Deep Learning
#Knowledge Graph
#inference
#Feedback
#Reasoning
#goal oriented communication
#optical networks
#constrained AI
#6G architectures
#edge intelligence
#edge general intelligence
#agentification
#6G networks
#rate-distortion
#Channel state information
#semantic native
#semantic network
#wireless communication
#Self-organization
#Stigmergy
#multi-agent reinforcement learning.
#emergent communication
#Future wireless networks
#Table Question Answering
#Generative Internet of Things
#and knowledge base
#large language model/large vision model
#6G communications.
#Multi-agent system
#AI Agents
#contstrative learning
#causal mechanism
#Structural Health Monitoring
#nonorthogonal multiple access (NOMA)
#fifth generation (5G)
#5G mobile communication
#and semantics communication
#network slicing
#intent-based
#dynamic resource allocation
#dynamic quality of service (QoS)
#context-awareness
#computing continuum
#graph-based knowledge structure
#embedding-based semantic interpretation
#inference function
#inverse contextual reasoning
#semantics-native communication
#semantic coding
#Stochastic processes
#Channel coding
#AGI-augmented digital twins (DTs)
#cognitive avatars
#AGI-native
#artificial general intelligence (AGI)
#client-driven power balancing
#R´enyi differential privacy
#Over-the-air federated learning
#vector quantization
#modulation-agnostic
#DC programming
#difference-of-convex-functions
#low-rank optimization
#sparse optimization
#edge machine learning
#over-the-air computation
#DeepJSCC
#JSCC
#Joint source channel coding
#precoding and detection
#end-to-end communication
#Predictive models
#Distributed databases
#Large Batch SGD
#Split learning for health
#splitNN
#Communication-Efficient Learning
#Deep Networks
#Decentralized Data
#Federated Optimization
#Federated Averaging Algorithm
#FederatedSGD
#FederatedAveraging
#wireless image transmission
#deep joint source channel coding
#single carrier transmission
#intelligent networks
#6G wireless networks
#Serverless Computing
#딥러닝 #채널 추정 #residual learning
#cnn #딥러닝 #채널추정
#mmse #통신 #채널추정 #colab
#통신 #채널 추정 #ls
#autoencoder #8psk #latent space
#auto encoder #딥러닝 #통신
#multipath #rayleighfading #ber
#딥러닝 #cnn #통신 #relu #ai #softmax
#wirelesscommunications #ai #cnn #bpsk
#gumbel softmax
#adaptive learning
#ai agent
#Split Learning
#Prompt Engineering
#data privacy
#training data
#side information
#Self Supervised Learning
#Contrastive Learning
#causality
#representation learning
#batch normalization
#coordination
#Life-long learning
#colab
#transfer learning
#Digital Transformation
#Digital Twin
#prediction
#snc
#industry 4.0
#Smart Manufacturing
#Agents
#reinforcement
#Reinforcement Learning
#Telecommunications
#noma
#Relic
#Artificial Intelligence
#Actions
#Metaverse
#mimo
#PLANNING
#decoding
#GPT
#cognition
#Optimization
#5G
#Classification
#fdd
#SEMANTICS
#Common Sense
#Transformer
#privacy
#Encoding
#Compression
#coding
#GENERATION
#통신
#Knowledge