Distributed Learning
1,202 papers
Papers per year
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5
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4
9
21
27
24
46
51
72
99
115
127
135
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115
33
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Papers
One-shot Federated Learning via Synthetic Distiller-Distillate Communication
NeurIPS 2024
One Year of Continuous and Automatic Data Gathering from Parliaments of European Union Member States
COLING 2024
On Sampling Strategies for Spectral Model Sharding
NeurIPS 2024
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
UAI 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
NeurIPS 2024
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
NeurIPS 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
NeurIPS 2024
Ordered Momentum for Asynchronous SGD
NeurIPS 2024
Parallel Empirical Evaluations: Resilience despite Concurrency
AAAI 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning
NeurIPS 2024
Pipeline Parallelism with Controllable Memory
NeurIPS 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
IJCAI 2024
Queuing dynamics of asynchronous Federated Learning
AISTATS 2024
Recovery Guarantees for Distributed-OMP
AISTATS 2024
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
NAACL 2024
Resiliency at Scale: Managing Google’s TPUv4 Machine Learning Supercomputer
NSDI 2024
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
NeurIPS 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract)
COLT 2024
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
NeurIPS 2024
Scalable Federated Unlearning via Isolated and Coded Sharding
IJCAI 2024
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
JMLR 2024
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
NeurIPS 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption
AAAI 2024
SENIT at AraFinNLP2024: trust your model or combine two
ACL 2024
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity
NeurIPS 2024