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Federated Learning

1355 directly classified papers

Papers per year

Papers

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning INTERSPEECH 2022
FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering ICML 2022
Federated Learning with Positive and Unlabeled Data ICML 2022
CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning CVPR 2022
Federated Class-Incremental Learning CVPR 2022
Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning AAAI 2022
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination CVPR 2022
Learn From Others and Be Yourself in Heterogeneous Federated Learning CVPR 2022
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds CVPR 2022
Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks INTERSPEECH 2022
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling INTERSPEECH 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022
Statistical Estimation and Online Inference via Local SGD COLT 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning ICML 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract) AAAI 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning ICML 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022