Federated Learning

Bayesian Framework for Gradient Leakage ICLR 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 Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing ICLR 2022 Byzantine-tolerant federated Gaussian process regression for streaming data NeurIPS 2022 CalFAT: Calibrated Federated Adversarial Training with Label Skewness NeurIPS 2022 CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning CVPR 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 Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NeurIPS 2022 Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees JMLR 2022 Communication-Efficient Adaptive Federated Learning ICML 2022 Communication-efficient distributed eigenspace estimation with arbitrary node failures NeurIPS 2022 Communication Efficient Distributed Learning for Kernelized Contextual Bandits NeurIPS 2022 Communication Efficient Federated Learning for Generalized Linear Bandits NeurIPS 2022 Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data ICML 2022 Continual Federated Learning Based on Knowledge Distillation IJCAI 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Coordinating Momenta for Cross-Silo Federated Learning AAAI 2022 Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering NeurIPS 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 Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022