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Federated Learning

894 papers

Papers per year

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1
37
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Papers

Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
Federated Learning with Only Positive Labels ICML 2020
Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020
A Federated Approach in Training Acoustic Models INTERSPEECH 2020
Distributed Kernel Ridge Regression with Communications JMLR 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020
Sol: Fast Distributed Computation Over Slow Networks NSDI 2020
Orchard: Differentially Private Analytics at Scale OSDI 2020
Differentially Private Distributed Data Summarization under Covariate Shift NIPS 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NIPS 2019
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019
Two-stage Federated Phenotyping and Patient Representation Learning ACL 2019
Agnostic Federated Learning ICML 2019
Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019
Nonparametric Bayesian Aggregation for Massive Data JMLR 2019
Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
Communication Compression for Decentralized Training NIPS 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Differentially Private Matrix Completion Revisited ICML 2018
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018