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federated learning

1320 papers

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Also known as

FCL FGL FL FL OR NULL FEDMD FEDA AFL PPFL PFL FEDDG FHGL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning AAAI 2024
FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective AAAI 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024
Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations NIPS 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework IJCAI 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning AISTATS 2024
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024
DAGER: Exact Gradient Inversion for Large Language Models NIPS 2024
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning IJCAI 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection INTERSPEECH 2024