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1909.06335
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Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
13 September 2019
T. Hsu
Qi
Matthew Brown
FedML
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Papers citing
"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"
50 / 209 papers shown
Title
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F. I. C. L. Philip Chen
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39
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UPFL: Unsupervised Personalized Federated Learning towards New Clients
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Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
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22
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Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior
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27
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Benchmarking Algorithms for Federated Domain Generalization
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37
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Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
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FACT: Federated Adversarial Cross Training
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Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
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Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
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...
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DiffM
43
166
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Federated Conformal Predictors for Distributed Uncertainty Quantification
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Sai Praneeth Karimireddy
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34
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Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
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42
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34
33
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19 May 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
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31
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Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
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SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
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43
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Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection
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13
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FedAgg: Adaptive Federated Learning with Aggregated Gradients
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48
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Adaptive Federated Learning via New Entropy Approach
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Neural Collapse Inspired Federated Learning with Non-iid Data
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FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
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32
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Federated Gradient Matching Pursuit
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Federated Automatic Differentiation
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41
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