Co-occurring keywords · papers mentioning both
Papers
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
NeurIPS 2021
Personalized Cross-Silo Federated Learning on Non-IID Data
AAAI 2021
Personalized Federated Learning using Hypernetworks
ICML 2021
Personalized Federated Learning with First Order Model Optimization
ICLR 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling
ICML 2021
Practical One-Shot Federated Learning for Cross-Silo Setting
IJCAI 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning
EMNLP 2021
Provably Secure Federated Learning against Malicious Clients
AAAI 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
NeurIPS 2021
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
ICML 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
NeurIPS 2021
Regularized Mutual Learning for Personalized Federated Learning
ACML 2021
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning
NeurIPS 2021
Revealing and Protecting Labels in Distributed Training
NeurIPS 2021
R-GAP: Recursive Gradient Attack on Privacy
ICLR 2021
Robust and differentially private mean estimation
NeurIPS 2021
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
NeurIPS 2021
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract)
AAAI 2021
See Through Gradients: Image Batch Recovery via GradInversion
CVPR 2021
Shuffled Model of Differential Privacy in Federated Learning
AISTATS 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective
CVPR 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
NeurIPS 2021
Subgraph Federated Learning with Missing Neighbor Generation
NeurIPS 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
ICML 2021
The Impact of Record Linkage on Learning from Feature Partitioned Data
ICML 2021