Distributed Learning

A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026 Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026 BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026 BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 2026 Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026 Checkmate: Zero Performance Overhead Model Checkpointing via Network Gradient Replication NSDI 2026 Communication-efficient Distributed Statistical Inference for Massive Data with Heterogeneous Auxiliary Information JMLR 2026 CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026 Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance AAAI 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes AAAI 2026 DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026 Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model AAAI 2026 Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026 Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint AAAI 2026 Federated Learning Playground AAAI 2026 FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026 FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs AAAI 2026 HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting AAAI 2026 HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches AAAI 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 Kernel-based Distributed Learning JMLR 2026 Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning WACV 2026 OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026 Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026