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https://doi.org/10.2139/ssrn.4683585

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22727openalex-extracted
Secure and efficient parameters aggregation protocol for federated incremental learning and its applications
inferredcites →https://doi.org/10.1007/978-3-030-58529-7_16openalex-extracted
Topology-Preserving Class-Incremental Learning
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_6openalex-extracted
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
inferredcites →https://doi.org/10.1007/978-3-030-87444-5_12openalex-extracted
Topological Detection of Alzheimer’s Disease Using Betti Curves
inferredcites →https://doi.org/10.1007/s00521-021-06802-0openalex-extracted
Multi-scale strip pooling feature aggregation network for cloud and cloud shadow segmentation
inferredcites →https://doi.org/10.1016/j.engappai.2021.104468openalex-extracted
Achieving security and privacy in federated learning systems: Survey, research challenges and future directions
inferredcites →https://doi.org/10.1016/j.eswa.2023.121463openalex-extracted
FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation
inferredcites →https://doi.org/10.1016/j.tics.2020.09.004openalex-extracted
Embracing Change: Continual Learning in Deep Neural Networks
inferredcites →https://doi.org/10.1016/s0031-3203(01)00238-2openalex-extracted
Generating cubical complexes from image data and computation of the Euler number
inferredcites →https://doi.org/10.1016/s0079-7421(08)60536-8openalex-extracted
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
inferredcites →https://doi.org/10.1090/proc/16776openalex-extracted
Basic metric geometry of the bottleneck distance
inferredcites →https://doi.org/10.1109/cvpr.2019.00092openalex-extracted
Learning a Unified Classifier Incrementally via Rebalancing
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00992openalex-extracted
Federated Class-Incremental Learning
inferredcites →https://doi.org/10.1109/iccv.2017.368openalex-extracted
Incremental Learning of Object Detectors without Catastrophic Forgetting
inferredcites →https://doi.org/10.1109/iccv48922.2021.00088openalex-extracted
SS-IL: Separated Softmax for Incremental Learning
inferredcites →https://doi.org/10.1109/icip.2001.958452openalex-extracted
Cubical homology and the topological classification of 2D and 3D imagery
inferredcites →https://doi.org/10.1109/icmla.2019.00256openalex-extracted
A Topological "Reading" Lesson: Classification of MNIST using TDA
inferredcites →https://doi.org/10.1109/tpami.2020.3013679openalex-extracted
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
inferredcites →https://doi.org/10.1109/tpwrd.2021.3124528openalex-extracted
Parameter Identification in Power Transmission Systems Based on Graph Convolution Network
inferredcites →https://doi.org/10.1117/1.jrs.16.016513openalex-extracted
MLNet: multichannel feature fusion lozenge network for land segmentation
inferredcites →https://doi.org/10.1126/science.7134969openalex-extracted
Topological Structure in Visual Perception
inferredcites →https://doi.org/10.1145/3298981openalex-extracted
Federated Machine Learning
inferredcites →https://doi.org/10.1155/2021/8261663openalex-extracted
Federated Learning: A Distributed Shared Machine Learning Method
inferredcites →https://doi.org/10.1523/jneurosci.2789-16.2016openalex-extracted
Neural and Behavioral Evidence for an Online Resetting Process in Visual Working Memory
inferredcites →https://doi.org/10.1609/aaai.v35i9.16991openalex-extracted
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.392openalex-extracted
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer
inferredcites →https://doi.org/10.2139/ssrn.3275996openalex-extracted
Persistent-Homology-Based Machine Learning and Its Applications -- A Survey
inferredcites →https://doi.org/10.3390/app121910025openalex-extracted
A Federated Incremental Learning Algorithm Based on Dual Attention Mechanism
inferredcites →https://doi.org/10.3390/math10061000openalex-extracted
FedGCN: Federated Learning-Based Graph Convolutional Networks for Non-Euclidean Spatial Data
inferredcites →https://doi.org/10.3390/rs14010206openalex-extracted
Multi-Scale Feature Aggregation Network for Water Area Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1207.6437openalex-extracted
Statistical topological data analysis using persistence landscapes
inferredcites →https://doi.org/10.48550/arxiv.1312.6211openalex-extracted
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-extracted
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.1910.07796openalex-extracted
Overcoming Forgetting in Federated Learning on Non-IID Data
inferredcites →https://doi.org/10.48550/arxiv.2005.12692openalex-extracted
Cubical Ripser: Software for computing persistent homology of image and volume data
inferredcites →https://doi.org/10.48550/arxiv.2011.07801openalex-extracted
Gradient Episodic Memory with a Soft Constraint for Continual Learning
inferredcites →https://doi.org/10.48550/arxiv.2203.11473openalex-extracted
inferredcites →https://doi.org/10.5555/2789272.2789275openalex-extracted
Statistical topological data analysis using persistence landscapes
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