Federated Learning
969 papers
Papers per year
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37
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234
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Papers
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
EMNLP 2022
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
AISTATS 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
NeurIPS 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
ICML 2022
Byzantine-tolerant federated Gaussian process regression for streaming data
NeurIPS 2022
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract)
AAAI 2022
Clustering-based Wake Word Detection in Privacy-aware Acoustic Sensor Networks
Interspeech 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Communication-Efficient Adaptive Federated Learning
ICML 2022
Continual Federated Learning Based on Knowledge Distillation
IJCAI 2022
Contribution-Aware Federated Learning for Smart Healthcare
AAAI 2022
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning
AAAI 2022
CrowdFL: A Marketplace for Crowdsourced Federated Learning
AAAI 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
ICML 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
NeurIPS 2022
Decoupled Federated Learning for ASR with Non-IID Data
Interspeech 2022
DENSE: Data-Free One-Shot Federated Learning
NeurIPS 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
ICML 2022
Differentially Private Federated Learning on Heterogeneous Data
AISTATS 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation
EMNLP 2022
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
ICML 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022
Distributed Learning of Finite Gaussian Mixtures
JMLR 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
NeurIPS 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
ICML 2022