Skip to content
conftrace_

Federated Learning

1,560 papers

1
4
77
306
'10
'15
'20
'25

Papers

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 Privacy Amplification by Decentralization AISTATS 2022 Privacy Amplification via Shuffling for Linear Contextual Bandits ALT 2022 Privacy-aware compression for federated data analysis UAI 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 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 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 Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning 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 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 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 Sample-and-threshold differential privacy: Histograms and applications AISTATS 2022 SASH: Efficient secure aggregation based on SHPRG for federated learning UAI 2022