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Distributed Computing

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Showing 226–250 of 379 papers

TitleStatusHype
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
Evaluation of Federated Learning in Phishing Email Detection—0
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities—0
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review—0
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization—0
FGPGA: An Efficient Genetic Approach for Producing Feasible Graph Partitions—0
FleetX—0
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
FLHub: a Federated Learning model sharing service—0
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize—0
Folding@home: achievements from over twenty years of citizen science herald the exascale era—0
FolksoDrivenCloud: an annotation and process application for social collaborative networking—0
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association—0
Fundamental Resource Trade-offs for Encoded Distributed Optimization—0
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks—0
General Coded Computing in a Probabilistic Straggler Regime—0
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation—0
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization—0
Goal-oriented Spectrum Sharing: Trading Edge Inference Power for Data Streaming Performance—0
Going Forward-Forward in Distributed Deep Learning—0
Gradient Coding with Clustering and Multi-message Communication—0
Graph Partitioning via Parallel Submodular Approximation to Accelerate Distributed Machine Learning—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
Heterogeneity: An Open Challenge for Federated On-board Machine Learning—0
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments—0
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