2023 TOP Federated Learning Conference Review2023 年度的人工智能和数据

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- : 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]]((www.ijcai.org/proceedings…) [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]

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