Research Article10.1016/j.future.2025.108255A two-Layer asynchronous federated learning for heterogeneous IoT devicesMay 01, 2026Future Generation Computer SystemsJian Xu + 3 more +3CiteListenSave
Research Article10.1016/j.future.2025.108295A joint time and energy-efficient federated learning-based computation offloading method for mobile edge computingMay 01, 2026Future Generation Computer SystemsAnwesha Mukherjee + 1 more +1Computation offloading at lower time and lower energy consumption is crucial for resource-constrained mobile devices. This paper proposes an offloading decision-making model using federated learning. Based on the device configuration, task type, and input, the proposed decision-making model predicts whether the task is computationally intensive or not. If the predicted result is computationally intensive , then based on the network parameters the proposed decision-making model predicts whether to offload or locally execute the task. The experimental results show that the proposed method achieves above 90 % prediction accuracy in offloading decision-making, and reduces the response time and energy consumption of the user device by ∼ 11-31 %. A secure partial computation offloading method for federated learning is also proposed to deal with the Straggler effect of federated learning. The results present that the proposed partial computation offloading method for federated learning has achieved a prediction accuracy of above 98 % for the global model.Read moreCiteListenSave
Research Article10.1016/j.future.2026.108515An integrated STPA-STRIDE-BN framework for cybersecurity risk analysis: A case study of ship remote pilotage operationsApr 01, 2026Future Generation Computer SystemsSunil Basnet + 5 more +5CiteListenSave
Research Article10.1016/j.future.2025.108250FedFreeze: A dual-phase layer freezing framework for federated learningApr 01, 2026Future Generation Computer SystemsDi Wu + 2 more +2CiteListenSave
Research Article110.1016/j.future.2025.108240Semantic drift evaluation in language and data-specific digital twin frameworksApr 01, 2026Future Generation Computer SystemsFaima Abbasi + 2 more +2CiteListenSave
Research Article10.1016/j.future.2026.108474STG-LAL: An online learnable activation spatio-temporal graph network for end-to-end traffic congestion forecastingMar 10, 2026Future Generation Computer SystemsJingwei Zhao + 4 more +4CiteListenSave
Research Article510.1016/j.future.2025.108139New fuzzy K-nearest neighbor algorithms for classification performance improvementMar 01, 2026Future Generation Computer SystemsHassan I Abdalla + 2 more +2CiteListenSave
Research Article10.1016/j.future.2025.108161Reinforced model selection for resource efficient anomaly detection in edge cloudsMar 01, 2026Future Generation Computer SystemsJavad Forough + 2 more +2CiteListenSave
Research Article10.1016/j.future.2025.108127Artificial intelligence-empowered industrial framework for extreme vulnerability analysisMar 01, 2026Future Generation Computer SystemsVishal Gupta + 4 more +4CiteListenSave
Research Article10.1016/j.future.2025.108196Dynamic orchestration of transformer models for sentiment analysis on social networks: Optimized performance and sustainable computingMar 01, 2026Future Generation Computer SystemsOussama El Azzouzy + 2 more +2CiteListenSave