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Distributed Learning

1100 directly classified papers

Papers per year

Papers

BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 2026

Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance AAAI 2026

A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026

FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs AAAI 2026

FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes AAAI 2026

Bant: Byzantine Antidote via Trial Function and Trust Scores 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

Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026

DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026

Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint AAAI 2026

Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026

CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026

Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning WACV 2026

BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026

SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026

Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model AAAI 2026

Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026

Federated Learning Playground AAAI 2026

TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training AAAI 2026

Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage AAAI 2026

SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing AAAI 2026