2023 TOP Federated Learning Conference Review

2023 年度的人工智能和数据挖掘顶会已经出炉，在此把关于 Federated Learning 的部分筛选出来，以供后续学习，整理内容已同步在 Github。

人工智能

AAAI

• Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense pdf code
• Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning pdf code
• Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning pdf code
• FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance pdf code
• Federated Learning on Non-IID Graphs via Structural Knowledge Sharing pdf code
• FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability pdf code
• FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation pdf code
• Bayesian Federated Neural Matching That Completes Full Information pdf code
• CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems pdf code
• FedALA: Adaptive Local Aggregation for Personalized Federated Learning pdf code
• DPAUC: Differentially Private AUC Computation in Federated Learning pdf code
• Clustered Federated Learning for Heterogeneous Data (Student Abstract) pdf
• MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) pdf
• A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract) pdf
• Industry-Scale Orchestrated Federated Learning for Drug Discovery pdf
• Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout pdf
• Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model pdf
• On the Vulnerability of Backdoor Defenses for Federated Learning pdf
• Delving into the Adversarial Robustness of Federated Learning pdf
• DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awarenes pdf
• Federated Generative Model on Multi-Source Heterogeneous Data in IoT pdf
• Faster Adaptive Federated Learning pdf
• Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework pdf
• FedABC: Targeting Fair Competition in Personalized Federated Learning pdf
• Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces pdf
• Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning pdf
• Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning pdf
• Almost Cost-Free Communication in Federated Best Arm Identification pdf
• Complement Sparsification: Low-Overhead Model Pruning for Federated Learning pdf
• FairFed: Enabling Group Fairness in Federated Learning pdf
• Tackling Data Heterogeneity in Federated Learning with Class Prototypes pdf
• Incentive-Boosted Federated Crowdsourcing pdf
• Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation pdf

NeurlPS

• Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition pdf code
• Federated Conditional Stochastic Optimization pdf code
• SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning pdf code
• Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds pdf code
• Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training pdf code
• Federated Learning via Meta-Variational Dropout pdf code
• Solving a Class of Non-Convex Minimax Optimization in Federated Learning pdf code
• A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning pdf code
• Eliminating Domain Bias for Federated Learning in Representation Space pdf code
• FedL 2 P: Federated Learning to Personalize pdf code
• One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning pdf code
• Flow: Per-instance Personalized Federated Learning pdf code
• Fed- \(\text{CO}_2\): Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning pdf code
• PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning pdf code
• Towards Personalized Federated Learning via Heterogeneous Model Reassembly pdf code
• DELTA: Diverse Client Sampling for Fasting Federated Learning pdf code
• FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning pdf code
• Convergence Analysis of Sequential Federated Learning on Heterogeneous Data pdf code
• FedFed: Feature Distillation against Data Heterogeneity in Federated Learning pdf code
• A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning pdf code
• IBA: Towards Irreversible Backdoor Attacks in Federated Learning pdf code
• A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks pdf code
• Guiding The Last Layer in Federated Learning with Pre-Trained Models pdf code
• Dynamic Personalized Federated Learning with Adaptive Differential Privacy pdf code
• FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout pdf code
• FedNAR: Federated Optimization with Normalized Annealing Regularization pdf code
• Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer pdf code
• Adaptive Test-Time Personalization for Federated Learning pdf code
• FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks pdf code
• Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization pdf
• StableFDG: Style and Attention Based Learning for Federated Domain Generalization pdf
• Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense pdf
• EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning pdf
• Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates pdf
• Federated Spectral Clustering via Secure Similarity Reconstruction pdf
• Federated Learning with Manifold Regularization and Normalized Update Reaggregation pdf
• Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization pdf
• Structured Federated Learning through Clustered Additive Modeling pdf
• Federated Multi-Objective Learning pdf
• Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM pdf
• SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning pdf
• Private Federated Frequency Estimation: Adapting to the Hardness of the Instance pdf
• Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning pdf
• Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction pdf
• DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning pdf
• Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization pdf
• Federated Compositional Deep AUC Maximization pdf
• Spectral Co-Distillation for Personalized Federated Learning pdf
• RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks pdf
• Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning pdf
• Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization pdf
• Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection pdf
• Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems pdf

ACL

• FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP pdf code
• Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms pdf code
• Client-Customized Adaptation for Parameter-Efficient Federated Learning pdf code
• Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter pdf code
• FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models pdf code
• Federated Learning of Gboard Language Models with Differential Privacy pdf
• Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets pdf

CVPR

• GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting pdf code
• Federated Incremental Semantic Segmentation pdf code
• Re-Thinking Federated Active Learning Based on Inter-Class Diversity pdf code
• Federated Domain Generalization with Generalization Adjustment pdf code
• On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data pdf code
• Learning Federated Visual Prompt in Null Space for MRI Reconstruction pdf code
• Federated Learning with Data-Agnostic Distribution Fusion pdf code
• Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning pdf code
• Fair Federated Medical Image Segmentation via Client Contribution Estimation pdf code
• Rethinking Federated Learning with Domain Shift: A Prototype View pdf code
• STDLens: Model Hijacking-Resilient Federated Learning for Object Detection pdf code
• ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients pdf code
• OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework pdf code
• Many-Task Federated Learning: A New Problem Setting and A Simple Baseline pdf code
• Mixed Quantization Enabled Federated Learning to Tackle Gradient Inversion Attacks pdf code
• Asynchronous Federated Continual Learning pdf code
• Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition pdf
• TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training pdf
• Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data pdf
• Make Landscape Flatter in Differentially Private Federated Learning pdf
• Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization pdf
• Bias-Eliminating Augmentation Learning for Debiased Federated Learning pdf
• Adaptive Channel Sparsity for Federated Learning under System Heterogeneity pdf
• Reliable and Interpretable Personalized Federated Learning pdf
• DaFKD: Domain-aware Federated Knowledge Distillation pdf
• FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning pdf
• Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack pdf
• Elastic Aggregation for Federated Optimization pdf
• How to Prevent the Poor Performance Clients for Personalized Federated Learning? pdf
• FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation pdf
• The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning pdf

ICML

• Personalized Subgraph Federated Learning pdf code
• Optimizing the Collaboration Structure in Cross-Silo Federated Learning pdf code
• Efficient Personalized Federated Learning via Sparse Model-Adaptation pdf code
• From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning pdf code
• Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning pdf code
• Federated Heavy Hitter Recovery under Linear Sketching pdf code
• Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships pdf code
• FeDXL: Provable Federated Learning for Deep X-Risk Optimization pdf code
• FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction pdf code
• One-Shot Federated Conformal Prediction pdf code
• Revisiting Weighted Aggregation in Federated Learning with Neural Networks pdf code
• Federated Conformal Predictors for Distributed Uncertainty Quantification pdf code
• Vertical Federated Graph Neural Network for Recommender System pdf code
• SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning pdf code
• Secure Federated Correlation Test and Entropy Estimation pdf code
• TabLeak: Tabular Data Leakage in Federated Learning pdf code
• FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization pdf code
• Anchor Sampling for Federated Learning with Partial Client Participation pdf code
• Personalized Federated Learning with Inferred Collaboration Graphs pdf code
• FedDisco: Federated Learning with Discrepancy-Aware Collaboration pdf code
• Doubly Adversarial Federated Bandits pdf code
• FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization pdf code
• No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation pdf code
• LeadFL: Client Self-Defense against Model Poisoning in Federated Learning pdf code
• Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning pdf code
• Towards Unbiased Training in Federated Open-world Semi-supervised Learning pdf
• Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction pdf
• Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation pdf
• Personalized Federated Learning under Mixture of Distributions pdf
• The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond pdf
• Private Federated Learning with Autotuned Compression pdf
• Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape pdf
• FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks pdf
• Improving the Model Consistency of Decentralized Federated Learning pdf
• Conformal Prediction for Federated Uncertainty Quantification Under Label Shift pdf
• Federated Online and Bandit Convex Optimization pdf
• Towards Understanding Ensemble Distillation in Federated Learning pdf
• Flash: Concept Drift Adaptation in Federated Learning pdf
• FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models pdf
• Federated Adversarial Learning: A Framework with Convergence Analysis pdf
• Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation pdf
• Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis pdf
• Federated Linear Contextual Bandits with User-level Differential Privacy pdf
• Achieving Linear Speedup in Non-IID Federated Bilevel Learning pdf
• Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design pdf
• DoCoFL: Downlink Compression for Cross-Device Federated Learning pdf
• On the Convergence of Federated Averaging with Cyclic Client Participation pdf
• GuardHFL: Privacy Guardian for Heterogeneous Federated Learning pdf
• Fast Federated Machine Unlearning with Nonlinear Functional Theory pdf
• LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning pdf

IJCAI

• Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data pdf code
• FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning pdf code
• FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks pdf code
• Globally Consistent Federated Graph Autoencoder for Non-IID Graphs pdf code
• FedSampling: A Better Sampling Strategy for Federated Learning pdf code
• FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training [pdf]((https://www.ijcai.org/proceedings/2023/483) code
• FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity pdf code
• Dual Personalization on Federated Recommendation pdf code
• SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) pdf code
• Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion pdf
• A Survey of Federated Evaluation in Federated Learning pdf
• Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning pdf
• BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning pdf
• Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning pdf
• FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment pdf
• FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer pdf
• HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning pdf
• Federated Graph Semantic and Structural Learning pdf
• FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation pdf
• Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation pdf

数据库/数据挖掘/内容检索

SIGMOD

无相关文献。

SIGKDD

• FedDefender: Client-Side Attack-Tolerant Federated Learning pdf code
• FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity pdf code
• FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis pdf code
• ShapleyFL: Robust Federated Learning Based on Shapley Value pdf code
• Federated Few-shot Learning pdf code
• Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity pdf code
• FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy pdf code
• Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework pdf code
• DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization pdf code
• FS-REAL: Towards Real-World Cross-Device Federated Learning pdf code
• FedMultimodal: A Benchmark for Multimodal Federated Learning pdf code
• Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks pdf code
• UA-FedRec: Untargeted Attack on Federated News Recommendation pdf code
• International Workshop on Federated Learning for Distributed Data Mining pdf
• PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation pdf
• FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework pdf
• CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning pdf
• Personalized Federated Learning with Parameter Propagation pdf
• FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation pdf
• Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation pdf

ICDE

• Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs pdf code
• Distribution-Regularized Federated Learning on Non-IID Data pdf code
• FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration pdf
• Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data pdf
• Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices pdf
• Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices pdf
• FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge pdf
• Federated IoT Interaction Vulnerability Analysis pdf

SIGIR

• Personalized Federated Relation Classification over Heterogeneous Texts pdf code
• FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning pdf code
• Edge-cloud Collaborative Learning with Federated and Centralized Features pdf
• FLIRT: Federated Learning for Information Retrieval pdf
• Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity pdf

VLDB

• Towards Federated Machine Learning and Distributed Ledger Technology-based Data Monetization pdf