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Federated Learning

969 papers

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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