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2020 – today
- 2023
[c2]Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis:
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS 2023: 6630-6660- [c1]Andre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis:
Federated Multilingual Models for Medical Transcript Analysis. CHIL 2023: 147-162 - [i5]Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis:
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts. CoRR abs/2306.08586 (2023) - [i4]Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Anastasios Kyrillidis, Robert Sim:
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. CoRR abs/2310.02842 (2023) - 2022
- [i3]Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal Diaz, Andre Manoel, Robert Sim:
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations. CoRR abs/2203.13789 (2022) - [i2]Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis:
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR abs/2210.16105 (2022) - [i1]Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis:
Federated Multilingual Models for Medical Transcript Analysis. CoRR abs/2211.09722 (2022)
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