OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Parallel and Distributed Systems is 46. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
A Game-Theoretical Approach for User Allocation in Edge Computing Environment	234
Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning	183
Accelerating Federated Learning via Momentum Gradient Descent	183
A Scalable Multi-Layer PBFT Consensus for Blockchain	178
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems	177
Online Collaborative Data Caching in Edge Computing	148
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning	124
Towards Fair and Privacy-Preserving Federated Deep Models	121
Kokkos 3: Programming Model Extensions for the Exascale Era	120
Cost-Effective App Data Distribution in Edge Computing	116
Biscotti: A Blockchain System for Private and Secure Federated Learning	113
Recent Advances of Resource Allocation in Network Function Virtualization	101
GRP-HEFT: A Budget-Constrained Resource Provisioning Scheme for Workflow Scheduling in IaaS Clouds	99
Energy-Efficient Offloading for DNN-Based Smart IoT Systems in Cloud-Edge Environments	98
Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning	96
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing	91
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks	84
Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm	82
Auditing Cache Data Integrity in the Edge Computing Environment	81
The Deep Learning Compiler: A Comprehensive Survey	81
Online Deadline-Aware Task Dispatching and Scheduling in Edge Computing	77
Energy-Aware Application Placement in Mobile Edge Computing: A Stochastic Optimization Approach	76
Communication-Efficient Federated Learning With Compensated Overlap-FedAvg	71
Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach	69
CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight	68

Modeling and Optimization of Performance and Cost of Serverless Applications	68
Distributed and Collective Deep Reinforcement Learning for Computation Offloading: A Practical Perspective	65
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation	61
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression	61
AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning	59
Blockchain at the Edge: Performance of Resource-Constrained IoT Networks	59
Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing	58
FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning	58
Offloading Tasks With Dependency and Service Caching in Mobile Edge Computing	56
Min-Max Cost Optimization for Efficient Hierarchical Federated Learning in Wireless Edge Networks	55
Elastic Scheduling for Microservice Applications in Clouds	54
CSEdge: Enabling Collaborative Edge Storage for Multi-Access Edge Computing Based on Blockchain	53
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments	52
Efficient Algorithms for Delay-Aware NFV-Enabled Multicasting in Mobile Edge Clouds With Resource Sharing	52
Energy-Aware Inference Offloading for DNN-Driven Applications in Mobile Edge Clouds	51
Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm	51
A Potential Game Theoretic Approach to Computation Offloading Strategy Optimization in End-Edge-Cloud Computing	50
Reliability-Aware Network Service Provisioning in Mobile Edge-Cloud Networks	50
On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation	49
Privacy-Preserving Multi-Keyword Searchable Encryption for Distributed Systems	48
On Consortium Blockchain Consistency: A Queueing Network Model Approach	47
Evaluation of Stream Processing Frameworks	46
Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity	46