CCF A类会议或期刊----近两年联邦学习相关论文
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| 会议/期刊 | 论文 |
|---|---|
| neurips2020 | Lower Bounds and Optimal Algorithms for Personalized Federated Learning. |
| neurips2020 | Ensemble Distillation for Robust Model Fusion in Federated Learning. |
| neurips2020 | Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. |
| neurips2020 | Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. |
| neurips2020 | Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. |
| neurips2020 | Inverting Gradients - How easy is it to break privacy in federated learning? |
| neurips2020 | Throughput-Optimal Topology Design for Cross-Silo Federated Learning. |
| neurips2020 | An Efficient Framework for Clustered Federated Learning. |
| neurips2020 | Personalized Federated Learning with Moreau Envelopes. |
| neurips2020 | Robust Federated Learning: The Case of Affine Distribution Shifts. |
| kdd2021 | FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. |
| kdd2021 | Fed2: Feature-Aligned Federated Learning. |
| kdd2021 | FLOP: Federated Learning on Medical Datasets using Partial Networks. |
| kdd2021 | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. |
| kdd2021 | Towards Fair Federated Learning. |
| ICDE2021 | Feature Inference Attack on Model Predictions in Vertical Federated Learning. |
| ICDE2021 | An Efficient Approach for Cross-Silo Federated Learning to Rank. |
| ACMMM2020 | InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages. |
| AAAI2021 | Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. |
| AAAI2021 | Provably Secure Federated Learning against Malicious Clients. |
| AAAI2021 | On the Convergence of Communication-Efficient Local SGD for Federated Learning. |
| AAAI2021 | Personalized Cross-Silo Federated Learning on Non-IID Data. |
| AAAI2021 | FLAME: Differentially Private Federated Learning in the Shuffle Model. |
| AAAI2021 | Game of Gradients: Mitigating Irrelevant Clients in Federated Learning. |
| AAAI2021 | Defending against Backdoors in Federated Learning with Robust Learning Rate. |
| AAAI2021 | Addressing Class Imbalance in Federated Learning. |
| AAAI2021 | Toward Understanding the Influence of Individual Clients in Federated Learning. |
| AAAI2021 | Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. |
| AAAI2021 | Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. |
| AAAI2021 | A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract). |
| AAAI2020 | Robust Federated Learning via Collaborative Machine Teaching. |
| AAAI2020 | Federated Learning for Vision-and-Language Grounding Problems. |
| AAAI2020 | FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. |
| WWW2021 | Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. |
| WWW2021 | Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction. |
| WWW2021 | Hierarchical Personalized Federated Learning for User Modeling. |
| ICML2021 | Federated Learning under Arbitrary Communication Patterns. |
| ICML2021 | One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. |
| ICML2021 | Exploiting Shared Representations for Personalized Federated Learning. |
| ICML2021 | Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. |
| ICML2021 | Federated Learning of User Verification Models Without Sharing Embeddings. |
| ICML2021 | FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis. |
| ICML2021 | The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation. |
| ICML2021 | Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. |
| ICML2021 | Ditto: Fair and Robust Federated Learning Through Personalization. |
| ICML2021 | Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. |
| ICML2021 | Personalized Federated Learning using Hypernetworks. |
| ICML2021 | CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. |
| ICML2021 | Data-Free Knowledge Distillation for Heterogeneous Federated Learning. |
| ICML2020 | FedBoost: A Communication-Efficient Algorithm for Federated Learning. |
| ICML2020 | SCAFFOLD: Stochastic Controlled Averaging for Federated Learning. |
| ICML2020 | From Local SGD to Local Fixed-Point Methods for Federated Learning. |
| ICML2020 | FetchSGD: Communication-Efficient Federated Learning with Sketching. |
| ICML2020 | Federated Learning with Only Positive Labels. |
| ICML2019 | Analyzing Federated Learning through an Adversarial Lens. |
| ICML2019 | Agnostic Federated Learning. |
| ICML2019 | Bayesian Nonparametric Federated Learning of Neural Networks. |
| CVPR2021 | Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning. |
| CVPR2021 | Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. |
| CVPR2021 | Model-Contrastive Federated Learning. |
| CVPRW2021 | Are All Users Treated Fairly in Federated Learning Systems? |
| CVPRW2021 | Cluster-Driven Graph Federated Learning Over Multiple Domains. |
| CVPRW2021 | Towards Fair Federated Learning With Zero-Shot Data Augmentation. |
| ICCV2021 | FedAffect: Few-shot federated learning for facial expression recognition. |
| IJCAI2021 | H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning. |
| IJCAI2021 | Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. |
| IJCAI2021 | Practical One-Shot Federated Learning for Cross-Silo Setting. |
| IJCAI2021 | LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. |
| IJCAI2021 | Federated Learning with Fair Averaging. |
| IJCAI2021 | Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. |
| IJCAI2020 | A Multi-player Game for Studying Federated Learning Incentive Schemes. |
| TPAMI2022 | Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning. |
| JMLR2021 | One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them. |