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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning OSDI 2021
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning NIPS 2021
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication COLT 2021
Test-time Collective Prediction NIPS 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
Scaling Distributed Machine Learning with In-Network Aggregation NSDI 2021
Unifying Timestamp with Transaction Ordering for MVCC with Decentralized Scalar Timestamp NSDI 2021
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure AAAI 2021
Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation INTERSPEECH 2021
Asynchronous Decentralized SGD with Quantized and Local Updates NIPS 2021
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NIPS 2021
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback NIPS 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NIPS 2021
Error Compensated Distributed SGD Can Be Accelerated NIPS 2021
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NIPS 2021
Rethinking gradient sparsification as total error minimization NIPS 2021
Parallel and Efficient Hierarchical k-Median Clustering NIPS 2021
A Distributed Method for Fitting Laplacian Regularized Stratified Models JMLR 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021