federated learning

Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers MIDL 2024 Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration NeurIPS 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks ICLR 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond ICLR 2024 Traceable Federated Continual Learning CVPR 2024 TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning WACV 2024 Trustworthy Machine Learning under Imperfect Data IJCAI 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 Convergence and Generalization in Federated Learning through Feature Learning Theory ICLR 2024 Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024 Universal Sample Coding NeurIPS 2024 Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024 Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning CVPR 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 Why Go Full? Elevating Federated Learning Through Partial Network Updates NeurIPS 2024 z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024 A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning NeurIPS 2023 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 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity CVPR 2023