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← Optimization & Theory
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Optimization & Theory
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Distributed Learning
1100 directly classified papers
Papers per year
2006: 1
2007: 3
2008: 3
2009: 5
2010: 6
2011: 4
2012: 9
2013: 20
2014: 27
2015: 18
2016: 44
2017: 49
2018: 70
2019: 92
2020: 108
2021: 125
2022: 127
2023: 145
2024: 125
2025: 89
2026: 30
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
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