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Federated Learning

215 papers

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Papers

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 When Do Curricula Work in Federated Learning? ICCV 2023 AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022 Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022 A Unified Analysis of Federated Learning with Arbitrary Client Participation NeurIPS 2022 Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract) AAAI 2022 Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NeurIPS 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022 Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NeurIPS 2022 FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022 Federated Learning for Face Recognition with Gradient Correction AAAI 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NeurIPS 2022 FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition AAAI 2022 FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022 FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NeurIPS 2022 FedScale: Benchmarking Model and System Performance of Federated Learning at Scale ICML 2022 FLAIR: Federated Learning Annotated Image Repository NeurIPS 2022 HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022 Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 LAMP: Extracting Text from Gradients with Language Model Priors NeurIPS 2022 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NeurIPS 2022