Federated Learning

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 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 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 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 Self-Aware Personalized Federated Learning NeurIPS 2022 Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Interspeech 2022 SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training NeurIPS 2022 Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022 Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning NeurIPS 2022 SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022 SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022 Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022 Task-level Differentially Private Meta Learning NeurIPS 2022 TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NeurIPS 2022 The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning ICML 2022 The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation ICML 2022 Tight and Robust Private Mean Estimation with Few Users ICML 2022 Topology-aware Generalization of Decentralized SGD ICML 2022