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Showing results 1 to 5 of 5

1
Accelerating Federated Learning with Split Learning on Locally Generated Losses

HAN, DONGJUN; Moon, Jaekyun; Bhatti, Hasnain Irshad; Lee, Jungmoon, ICML 2021 Workshop on Federated Learning for User Privacy and Data Confidentiality, ICML Board, 2021-07-24

2
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks

Sohn, Jy Yong; Moon, Jaekyun; HAN, DONGJUN; Choi, Beongjun, 34th Conference on Neural Information Processing Systems (NeurIPS) 2020, Neural Information Processing Systems, 2020-12-08

3
Few-Round Learning for Federated Learning

Park, Younghyun; Moon, Jaekyun; HAN, DONGJUN; Kim, Do-Yeon; Seo, Jun, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12-09

4
Handling Both Stragglers and Adversaries for Robust Federated Learning

PARK, JUNGWUK; Moon, Jaekyun; HAN, DONGJUN; Choi, Minseok, ICML 2021 Workshop on Federated Learning for User Privacy and Data Confidentiality, ICML Board, 2021-07-24

5
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries

PARK, JUNGWUK; Moon, Jaekyun; HAN, DONGJUN; Choi, Minseok, Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation, 2021-12-08

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