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Keyphrases
Compute-intensive
16%
Continuous Resource
16%
Data Privacy
16%
Deep Q-network
33%
Directed Acyclic Graph
100%
Edge Computing System
33%
Edge Server
16%
Ensemble Reinforcement Learning
100%
Feature Embedding
16%
FedAvg
16%
Federated Learning
50%
Graph Topology
16%
Graph-based
100%
Increased Demand
16%
Internet of Things Applications
16%
Learning Approaches
16%
Level Model
16%
Local Training
16%
Mobile Edge Computing
100%
Model Aggregation
16%
Multi-head
16%
Multi-user
16%
Offloading Decision
50%
Optimal Offloading
16%
Periodic Models
16%
Reinforcement Learning Framework
16%
Resource Allocation
100%
Resource Constraints
16%
Resource-constrained Devices
16%
System Cost
16%
Task Completion Rate
16%
Task Dependency
16%
Task Offloading
100%
Task Resources
100%
Twin Delayed Deep Deterministic Policy Gradient Algorithm
16%
User Privacy
16%
Computer Science
Application Model
16%
Computing Environment
33%
Constrained Device
16%
Data Privacy
16%
Deep Q-Network
33%
Directed Acyclic Graph
100%
Edge Computing
100%
Edge Server
16%
Federated machine learning
50%
Internet-Of-Things
16%
Learning Approach
16%
Learning Framework
16%
Reinforcement Learning
100%
Resource Allocation
100%
Resource Constraint
16%
Task Completion Rate
16%
Task Dependency
16%
Task Offloading
100%
User Privacy
16%