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Federated Learning

169 papers

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Papers

PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NIPS 2021
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021
Provably Secure Federated Learning against Malicious Clients AAAI 2021
Differentially Private and Communication Efficient Collaborative Learning AAAI 2021
Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021
Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NIPS 2020
Federated Learning for Vision-and-Language Grounding Problems AAAI 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020
Guided Meta-Policy Search NIPS 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012