Journal & Article

Software Engineering

I/F
# Journal I/F

IEEE Transactions on Services Computing

Guest Editorial: Special Issue on Privacy-Preserving Machine Learning Services LUTless: Local Initial Approximation for Secure Power Function in Private Machine Learning ObliviGate: Toward Architecture-Oblivious Privacy-Preserving Inference for Malicious Security PDTE: Outsourced Private Decision Tree Evaluation for Large Trees With Sublinear Communication HSSCOA: Constant-Round Secure Collaborative Analytics on Secret-Shared Database PrivTI: Efficient End-to-End Privacy-Preserving Inference for Transformer-Based Models in MLaaS Privacy-Preserving and Verifiable Federated Learning Framework for Biometric Authentication at the Edge PMLSF: A Privacy-Preserving Machine Learning Service Framework for Efficient Task Allocation in Mobile Crowdsensing AdaFUN: Enhancing Federated Unlearning With Adaptive Local Step in Edge Computing FedAtlas: A Privacy-Enhanced Federated Multi-Task Learning Framework Driven by Semantic Communication for Dual Heterogeneity AdpFL: A Privacy-Preserving Federated Learning Framework Through Adaptive Model Pruning on Non-IID Data FairWeight: Private Fairness-Aware Aggregation Using Model Interpretation Based Weightage in Federated Learning Toward Robust and Fair Partial Label Federated Learning Service Shielding Federated Learning Services From a Novel Stealthy Label-Flipping Attack Exposing Membership Near-Optimal Differentially Private k-Center for Service Computing With Access Control AIAER-Mask: Safe Neuro-Symbolic Intent-Correct Routing for Event-Driven Microservices AirLoc: A QoS-Aware Mobile Location Service Framework via UAV-Assisted LoRa Networks BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services Blockchain-Enabled Elastic Task Offloading and Migration Scheme in Edge Computing System Budget-Aware Cost-Efficient Edge AI Inference for Data Streams via Blockchain-Empowered Auctions Calling the Shots: Constraint-Aware Honeypoint Orchestration for Cloud-Native Anomaly Response Culexus: Goroutine-Granular Detection and Mitigation of Algorithmic Complexity Attacks in Go Microservices Discovering Work Specialization Through Process Mining EcoVMS: LLM-Driven Reinforcement Learning for End-to-End Energy-Optimized VM Scheduling Fine-Grained Power Allocation for Power-Tiered Pricing Based Wireless Charging Services FIRE: A Failure-Adaptive RL Framework for Edge Computing Migrations MicroInspect: A Progressive Framework for Metric-Level Root Cause Localization in Microservices Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices NET-Tracker: A Service Oriented IP State Traceback for Inter Autonomous Systems ORACL: Optimized Reasoning for Autoscaling via Chain of Thought With LLMs for Microservices Performance and Security Aware Distributed Service Placement in Fog Computing PriPTune: Privacy-Preserving LLM Fine-Tuning Service Framework via Blockchain and TEE-GPU Collaborative Computing RACE: Risk-Aware Cloud-Edge Orchestration With Online Adaptive Calibration for Trustworthy LLM Services RefactorCoderQA: Benchmarking LLMs for Multi-Domain Coding Question Solutions in Cloud and Edge Deployment Secure Cooperative Offloading Across Domains With DIB-Enhanced Multi-Agent RL and Credence Mutual Information Semi-Automated Threat Modeling of Cloud-Based Systems Through Extracting Software Architecture From Configuration and Network Flow Spatio-Temporal Provisioning in Multi-UAV MEC With Pricing Games and Evolutionary Optimization Structure-Aware Serverless Orchestration via Graph Reinforcement Learning: Joint Optimization of Function Fusion and Placement When Blockchain Meets Tor: Enabling Automatically Distributed Blind Choosing of Relay Nodes in Anonymous Communication Service-Centric Adolescent Mental Health Early Warning Solutions and Enabling Technologies: Survey and Framework A Novel Approach to Temporal QoS Estimation via Extended Kalman Filter-Incorporated Latent Feature Analysis A Provably Cost-Efficient Approach to Deploying MoE Inference Models at the Network Edge A Spatio-Temporal Graph Neural Network for Process Remaining Time Prediction Adaptive Function Service Auto-Scaling for Serverless Computing via Deep Recurrent Reinforcement Learning AgenticOTA: An Agentic AI Pipeline for Context-Aware Over-the-Air Update Deployments in Connected Autonomous Vehicles Automated Refactoring for Conditional Branching BOTVPA: An SLO-Aware and Efficient Resource Scheduling Method for Microservice Collaborative Knowledge Editing for Large Language Model Services in Edge-Cloud Computing Collaborative Service of On-Device Unimodal Model and Cloud-Based Multimodal Model for Mobile Livestreaming Content Understanding $\mathsf {DARTIC}$: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing