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federated learning

1320 papers

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Also known as

FCL FGL FL FL OR NULL FEDMD FEDA AFL PPFL PFL FEDDG FHGL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning NIPS 2022
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022
Towards Understanding Biased Client Selection in Federated Learning AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NIPS 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NIPS 2022
Federated Functional Gradient Boosting AISTATS 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Privacy Amplification by Decentralization AISTATS 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling EMNLP 2022
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features IJCAI 2022
Personalized Federated Learning With a Graph IJCAI 2022
Towards Verifiable Federated Learning IJCAI 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting IJCAI 2022
Personalized Federated Learning with Contextualized Generalization IJCAI 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning IJCAI 2022
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022
Private Semi-Supervised Federated Learning IJCAI 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022