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Federated Membrane Learning for Heterogeneous Edge Intelligence: A Privacy-Preserving, Communication-Efficient Framework for Constrained Multi-Objective Optimization

https://doi.org/10.2139/ssrn.7435408
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.biosystems.2006.02.001openalex-snapshot
Membrane computing: Brief introduction, recent results and applications
inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
inferredcites →https://doi.org/10.1073/pnas.2024789118openalex-snapshot
Communication-efficient federated learning
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/access.2018.2820162openalex-snapshot
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues
inferredcites →https://doi.org/10.1109/access.2021.3111130openalex-snapshot
Multi-Objective Task Scheduling Approach for Fog Computing
inferredcites →https://doi.org/10.1109/jas.2023.123687openalex-snapshot
Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/jproc.2019.2918437openalex-snapshot
Edge Computing Security: State of the Art and Challenges
inferredcites →https://doi.org/10.1109/jproc.2019.2918951openalex-snapshot
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
inferredcites →https://doi.org/10.1109/jsac.2019.2904348openalex-snapshot
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
inferredcites →https://doi.org/10.1109/mcom.001.1900649openalex-snapshot
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
inferredcites →https://doi.org/10.1109/tce.2024.3351648openalex-snapshot
Fed-PEMC: A Privacy-Enhanced Federated Deep Learning Algorithm for Consumer Electronics in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tevc.2003.810758openalex-snapshot
Performance assessment of multiobjective optimizers: an analysis and review
inferredcites →https://doi.org/10.1109/tevc.2007.892759openalex-snapshot
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
inferredcites →https://doi.org/10.1109/tevc.2021.3089155openalex-snapshot
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems
inferredcites →https://doi.org/10.1109/tevc.2023.3281666openalex-snapshot
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm
inferredcites →https://doi.org/10.1109/tkde.2021.3124599openalex-snapshot
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
inferredcites →https://doi.org/10.1109/tmc.2023.3335198openalex-snapshot
Joint Task Offloading and Resource Allocation in Heterogeneous Edge Environments
inferredcites →https://doi.org/10.1109/tnsm.2023.3323129openalex-snapshot
Communication-Efficient Personalized Federated Learning With Privacy-Preserving
inferredcites →https://doi.org/10.1109/ton.2026.3690752openalex-snapshot
Decentralized Online Learning With Hard Constraints: A Doubly-Bounded Queue Approach
inferredcites →https://doi.org/10.1109/twc.2021.3108197openalex-snapshot
Federated Learning With Non-IID Data in Wireless Networks
inferredcites →https://doi.org/10.1109/twc.2022.3201207openalex-snapshot
Communication-Efficient Federated Learning via Quantized Compressed Sensing
inferredcites →https://doi.org/10.1145/3431234openalex-snapshot
A Survey of Nature-Inspired Computing
inferredcites →https://doi.org/10.1145/3486674openalex-snapshot
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions
inferredcites →https://doi.org/10.1145/359168.359176openalex-snapshot
How to share a secret
inferredcites →https://doi.org/10.1162/106365602760234108openalex-snapshot
Combining Convergence and Diversity in Evolutionary Multiobjective Optimization
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.3390/fi17030118openalex-snapshot
Edge and Cloud Computing in Smart Cities
inferredcites →https://doi.org/10.3390/s22020450openalex-snapshot
Federated Learning in Edge Computing: A Systematic Survey
inferredcites →https://doi.org/10.52202/075280-1721openalex-snapshot
Federated Multi-Objective Learning
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