federated learning

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NeurIPS 2024 Robot Fleet Learning via Policy Merging ICLR 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Robust Training of Federated Models with Extremely Label Deficiency ICLR 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024 SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning NeurIPS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ICLR 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 SPEAR: Exact Gradient Inversion of Batches in Federated Learning NeurIPS 2024 Stakeholder-oriented Decision Support for Auction-based Federated Learning IJCAI 2024 Stochastic Controlled Averaging for Federated Learning with Communication Compression ICLR 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference ECCV 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ICLR 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks AAAI 2024 Text-Enhanced Data-free Approach for Federated Class-Incremental Learning CVPR 2024 The Power of Extrapolation in Federated Learning NeurIPS 2024 The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence IJCAI 2024 Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NeurIPS 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024