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IEEE Transactions on Parallel and Distributed Systems
Title
Publication Date
Language
Citations
Auction-Based Cluster Federated Learning in Mobile Edge Computing Systems
2023/01/01
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning
2023/04/01
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud
2023/03/01
Towards Correlated Data Trading for High-Dimensional Private Data
2023/03/01
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework
2023/03/01
HPC Hardware Design Reliability Benchmarking With HDFIT
2023/03/01
Improving Effectiveness of Simulation-Based Inference in the Massively Parallel Regime
2023/01/01
HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association
2023/05/01
Minimizing the Average Packet Access Time of the Application Layer for Buffered Instantly Decodable Network Coding
2023/03/01
The Tiny-Tasks Granularity Trade-Off: Balancing Overhead Versus Performance in Parallel Systems
2023/04/01
Formal Definitions and Performance Comparison of Consistency Models for Parallel File Systems
2024/01/01
Sampling-Based Multi-Job Placement for Heterogeneous Deep Learning Clusters
Efficient Utilization of Multi-Threading Parallelism on Heterogeneous Systems for Sparse Tensor Contraction
SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing
2024/01/01
On Off-chaining Smart Contract Runtime Protection: A Queuing Model Approach
2024/01/01
GeoScale: Microservice Autoscaling With Cost Budget in Geo-Distributed Edge Clouds
2024/04/01
[Inside front cover]
2005/02/01
[Front cover]
2005/12/01
High Throughput Lattice-Based Signatures on GPUs: Comparing Falcon and Mitaka
2024/04/01
End-to-End Bayesian Networks Exact Learning in Shared Memory
2024/04/01
INT-Label: Lightweight In-Band Network-Wide Telemetry via Distributed Labeling
2024/05/01
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm
2023/12/01
Joint Deployment and Request Routing for Microservice Call Graphs in Data Centers
2023/11/01
Adaptive Data Placement in Multi-Cloud Storage: A Non-Stationary Combinatorial Bandit Approach
2023/11/01
Divide&Content: A Fair OS-Level Resource Manager for Contention Balancing on NUMA Multicores
2023/11/01
TDTA: Topology-Based Real-Time DAG Task Allocation on Identical Multiprocessor Platforms
2023/11/01
Multi-SP Network Slicing Parallel Relieving Edge Network Conflict
2023/11/01
SketchINT: Empowering INT With TowerSketch for Per-Flow Per-Switch Measurement
2023/11/01
GEM: Ultra-Efficient Near-Memory Reconfigurable Acceleration for Read Mapping by Dividing and Predictive Scattering
2023/12/01
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms
2023/11/01
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