distributed learning

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 Client-level Active Error Correction in Distributed Learning AAAI 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 Kernel-based Distributed Learning JMLR 2026 On the Relevance of Byzantine Robust Optimization Against Data Poisoning JMLR 2026 PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks AAAI 2026 Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026 Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026 ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025 AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 An Asynchronous Bundle Method for Distributed Learning Problems ICLR 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 Debiasing Federated Learning with Correlated Client Participation ICLR 2025 Decentralized Diffusion Models CVPR 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025 Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees ICLR 2025