Federated Learning

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 Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Traceable Federated Continual Learning CVPR 2024 TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning WACV 2024 TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients AAAI 2024 UFDA: Universal Federated Domain Adaptation with Practical Assumptions AAAI 2024 Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 VFLAIR: A Research Library and Benchmark for Vertical Federated Learning ICLR 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting NeurIPS 2023 Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 Adversarial Collaborative Learning on Non-IID Features ICML 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NeurIPS 2023 Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023 Almost Cost-Free Communication in Federated Best Arm Identification AAAI 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023 Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023