federated learning

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NeurIPS 2022 Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022 PRECODE - A Generic Model Extension To Prevent Deep Gradient Leakage WACV 2022 Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NeurIPS 2022 Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022 Pretrained Models for Multilingual Federated Learning NAACL 2022 Privacy Amplification by Decentralization AISTATS 2022 Privacy-aware compression for federated data analysis UAI 2022 Private Adaptive Optimization with Side information ICML 2022 Private Semi-Supervised Federated Learning IJCAI 2022 Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022 Production federated keyword spotting via distillation, filtering, and joint federated-centralized training Interspeech 2022 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022 Proximal and Federated Random Reshuffling ICML 2022 ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! ICML 2022 QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022 QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning ICML 2022 Recovering Private Text in Federated Learning of Language Models NeurIPS 2022 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022 Resource-Adaptive Federated Learning with All-In-One Neural Composition NeurIPS 2022 ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning CVPR 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models ICLR 2022 Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022