【联邦学习】2022年CCF-A会议论文整理
会议/期刊论文kdd2022Collaboration Equilibrium in Federated Learning.kdd2022Connecting Low-Loss Subspace for Personalized Federated Learning.kdd2022Communication-Efficient Robust Federated Learning with Nois
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| 会议/期刊 | 论文 |
|---|---|
| kdd2022 | Collaboration Equilibrium in Federated Learning. |
| kdd2022 | Connecting Low-Loss Subspace for Personalized Federated Learning. |
| kdd2022 | Communication-Efficient Robust Federated Learning with Noisy Labels. |
| kdd2022 | FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. |
| kdd2022 | No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. |
| kdd2022 | Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. |
| kdd2022 | Felicitas: Federated Learning in Distributed Cross Device Collaborative Frameworks. |
| kdd2022 | A Practical Introduction to Federated Learning. |
| ICDE2022 | Enhancing Federated Learning with In-Cloud Unlabeled Data. |
| ICDE2022 | FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. |
| ICDE2022 | Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. |
| ICDE2022 | Federated Learning on Non-IID Data Silos: An Experimental Study. |
| ICDE2022 | Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. |
| ICDE2022 | Improving Fairness for Data Valuation in Horizontal Federated Learning. |
| ACMMM2022 | Confederated Learning: Going Beyond Centralization. |
| ACMMM2022 | Few-Shot Model Agnostic Federated Learning. |
| AAAI2022 | HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. |
| AAAI2022 | Federated Learning for Face Recognition with Gradient Correction. |
| AAAI2022 | SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures. |
| AAAI2022 | Implicit Gradient Alignment in Distributed and Federated Learning. |
| AAAI2022 | SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. |
| AAAI2022 | Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning. |
| AAAI2022 | FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. |
| AAAI2022 | SplitFed: When Federated Learning Meets Split Learning. |
| AAAI2022 | Coordinating Momenta for Cross-Silo Federated Learning. |
| AAAI2022 | Seizing Critical Learning Periods in Federated Learning. |
| AAAI2022 | A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. |
| AAAI2022 | FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates. |
| AAAI2022 | Efficient Device Scheduling with Multi-Job Federated Learning. |
| AAAI2022 | Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. |
| AAAI2022 | Contribution-Aware Federated Learning for Smart Healthcare. |
| AAAI2022 | Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract). |
| AAAI2022 | AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract). |
| AAAI2022 | FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract). |
| AAAI2022 | CrowdFL: A Marketplace for Crowdsourced Federated Learning. |
| WWW2022 | An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. |
| WWW2022C | Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. |
| ICML2022 | Fast Composite Optimization and Statistical Recovery in Federated Learning. |
| ICML2022 | Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning. |
| ICML2022 | The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. |
| ICML2022 | The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation. |
| ICML2022 | DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. |
| ICML2022 | FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. |
| ICML2022 | DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. |
| ICML2022 | Accelerated Federated Learning with Decoupled Adaptive Optimization. |
| ICML2022 | Multi-Level Branched Regularization for Federated Learning. |
| ICML2022 | FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. |
| ICML2022 | Federated Learning with Positive and Unlabeled Data. |
| ICML2022 | Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. |
| ICML2022 | Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. |
| ICML2022 | Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring. |
| ICML2022 | Architecture Agnostic Federated Learning for Neural Networks. |
| ICML2022 | Personalized Federated Learning through Local Memorization. |
| ICML2022 | Federated Learning with Partial Model Personalization. |
| ICML2022 | Generalized Federated Learning via Sharpness Aware Minimization. |
| ICML2022 | FedNL: Making Newton-Type Methods Applicable to Federated Learning. |
| ICML2022 | Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. |
| ICML2022 | EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning. |
| ICML2022 | Communication-Efficient Adaptive Federated Learning. |
| ICML2022 | ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. |
| ICML2022 | Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. |
| ICML2022 | Anarchic Federated Learning. |
| ICML2022 | QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning. |
| ICML2022 | Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. |
| ICML2022 | Neural Tangent Kernel Empowered Federated Learning. |
| ICML2022 | Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. |
| ICML2022 | Personalized Federated Learning via Variational Bayesian Inference. |
| ICML2022 | Federated Learning with Label Distribution Skew via Logits Calibration. |
| ICML2022 | Neurotoxin: Durable Backdoors in Federated Learning. |
| ICLR2022 | Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? |
| ICLR2022 | Diverse Client Selection for Federated Learning via Submodular Maximization. |
| ICLR2022 | Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. |
| ICLR2022 | Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions. |
| ICLR2022 | Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. |
| ICLR2022 | ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. |
| ICLR2022 | An Agnostic Approach to Federated Learning with Class Imbalance. |
| ICLR2022 | Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients. |
| ICLR2022 | FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. |
| ICLR2022 | What Do We Mean by Generalization in Federated Learning? |
| ICLR2022 | Towards Model Agnostic Federated Learning Using Knowledge Distillation. |
| ICLR2022 | Acceleration of Federated Learning with Alleviated Forgetting in Local Training. |
| ICLR2022 | FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning. |
| ICLR2022 | On Bridging Generic and Personalized Federated Learning for Image Classification. |
| ICLR2022 | Hybrid Local SGD for Federated Learning with Heterogeneous Communications. |
| ICLR2022 | Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. |
| CVPR2022 | ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. |
| CVPR2022 | Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. |
| CVPR2022 | CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. |
| CVPR2022 | Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. |
| CVPR2022 | Robust Federated Learning with Noisy and Heterogeneous Clients. |
| CVPR2022 | Federated Learning with Position-Aware Neurons. |
| CVPR2022 | Layer-wised Model Aggregation for Personalized Federated Learning. |
| CVPR2022 | FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. |
| CVPR2022 | FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. |
| CVPR2022 | Differentially Private Federated Learning with Local Regularization and Sparsification. |
| CVPR2022 | Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. |
| CVPR2022 | Learn from Others and Be Yourself in Heterogeneous Federated Learning. |
| CVPR2022 | Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. |
| CVPR2022 | FedCorr: Multi-Stage Federated Learning for Label Noise Correction. |
| CVPR2022 | ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. |
| IJCAI2022 | Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. |
| IJCAI2022 | Private Semi-Supervised Federated Learning. |
| IJCAI2022 | Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning. |
| IJCAI2022 | Continual Federated Learning Based on Knowledge Distillation. |
| IJCAI2022 | Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios. |
| IJCAI2022 | Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. |
| IJCAI2022 | Personalized Federated Learning with Contextualized Generalization. |
| IJCAI2022 | FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. |
| IJCAI2022 | Personalized Federated Learning With a Graph. |
| IJCAI2022 | FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. |
| IJCAI2022 | Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. |
| IJCAI2022 | Towards Verifiable Federated Learning. |
| TPAMI2022 | Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning. |
| TPAMI2022 | Communication-Efficient Randomized Algorithm for Multi-Kernel Online Federated Learning. |
| JMLR2022 | One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them. |
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