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Federated Learning

1355 directly classified papers

Papers per year

Papers

TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020
KungFu: Making Training in Distributed Machine Learning Adaptive OSDI 2020
Closure Properties for Private Classification and Online Prediction COLT 2020
Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020
Differentially-Private Federated Linear Bandits NIPS 2020
Sequence-Level Self-Learning with Multiple Hypotheses INTERSPEECH 2020
Assisted Learning: A Framework for Multi-Organization Learning NIPS 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
Byzantine Resilient Distributed Multi-Task Learning NIPS 2020
Model Fusion with Kullback-Leibler Divergence ICML 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
Federated Learning with Only Positive Labels ICML 2020
Smoothed Analysis of Online and Differentially Private Learning NIPS 2020
Federated Bayesian Optimization via Thompson Sampling NIPS 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NIPS 2020
Inverting Gradients - How easy is it to break privacy in federated learning? NIPS 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NIPS 2020
Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020
Federated Heavy Hitters Discovery with Differential Privacy AISTATS 2020
Federated Learning for Vision-and-Language Grounding Problems AAAI 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019
Universal Multi-Party Poisoning Attacks ICML 2019