Federated Learning
1,560 papers
Papers per year
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7
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13
20
77
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228
328
289
306
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Papers
AEFGL: Reverse Auction and Value Evaluation-Based Federated Graph Learning Incentive Mechanism (Student Abstract)
AAAI 2026
AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection
AAAI 2026
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness
WACV 2026
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication
AAAI 2026
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
AAAI 2026
Bant: Byzantine Antidote via Trial Function and Trust Scores
AAAI 2026
Batman: Benign Knowledge Alignment Through Malicious Null Space in Federated Backdoor Attack
CVPR 2026
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
AAAI 2026
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge
ACL 2026
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
AAAI 2026
BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning
AAAI 2026
Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning
AAAI 2026
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
AAAI 2026
Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
AAAI 2026
Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering
AAAI 2026
Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification
AAAI 2026
Client-level Active Error Correction in Distributed Learning
AAAI 2026
Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments
AAAI 2026
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
WACV 2026
DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation
AAAI 2026
Data Heterogeneity and Forgotten Labels in Split Federated Learning
AAAI 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Decentralized Online Convex Optimization with Unknown Feedback Delays
AAAI 2026
Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data
AAAI 2026
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
AAAI 2026