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Federated Learning

1355 directly classified papers

Papers per year

Papers

Communication-Efficient Adaptive Federated Learning ICML 2022
Anarchic Federated Learning ICML 2022
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022
Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022
Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach CORL 2022
Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022
Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer EMNLP 2022
A Federated Approach to Predicting Emojis in Hindi Tweets EMNLP 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NIPS 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
DENSE: Data-Free One-Shot Federated Learning NIPS 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022
Self-Aware Personalized Federated Learning NIPS 2022
ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework CVPR 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating AAAI 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling NIPS 2022
Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022
Boosting with Multiple Sources NIPS 2021
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NIPS 2021