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Distributed Computing

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Showing 101–150 of 379 papers

TitleStatusHype
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning—0
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks—0
Multiple Access in the Era of Distributed Computing and Edge Intelligence—0
Consensus learning: A novel decentralised ensemble learning paradigm—0
Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning ApproachCode0
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case—0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
A Generalization of Arrow's Impossibility Theorem Through Combinatorial Topology—0
Programming Distributed Collective Processes in the eXchange Calculus—0
Distributed Solvers for Network Linear Equations with Scalarized Compression—0
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
Privacy-preserving quantum federated learning via gradient hiding—0
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning—0
Learning-driven Zero Trust in Distributed Computing Continuum Systems—0
Non-Sequential Ensemble Kalman Filtering using Distributed Arrays—0
Active Inference on the Edge: A Design Study—0
Simplicial Models for the Epistemic Logic of Faulty Agents—0
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize—0
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems—0
Randomized Polar Codes for Anytime Distributed Machine Learning—0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction—0
Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery—0
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks—0
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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