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Distributed Computing

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Showing 126–150 of 379 papers

TitleStatusHype
Iterative Sketching for Secure Coded Regression—0
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case—0
Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasetsCode0
On Collaboration in Distributed Parameter Estimation with Resource Constraints—0
Towards a Better Theoretical Understanding of Independent Subnetwork Training—0
Quasi-Newton Updating for Large-Scale Distributed Learning—0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review—0
A Survey on Distributed Evolutionary Computation—0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
Implementing Dynamic Programming in Computability Logic Web—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing—0
When Evolutionary Computation Meets Privacy—0
Folding@home: achievements from over twenty years of citizen science herald the exascale era—0
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing SystemsCode0
DISCO: Distributed Inference with Sparse Communications—0
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective—0
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities—0
Distributed sequential federated learning—0
Distributed Swarm Intelligence—0
A smart resource management mechanism with trust access control for cloud computing environment—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
Sequential Gradient Coding For Straggler Mitigation—0
Block size estimation for data partitioning in HPC applications using machine learning techniques—0
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