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Irene Tenison
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2020 – today
- 2024
- [c2]Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish:
Knowledge Distillation in Federated Learning: A Practical Guide. IJCAI 2024: 8188-8196 - 2023
- [j1]Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Irina Rish, Eugene Belilovsky:
Gradient Masked Averaging for Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [i4]Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish:
Gradient Masked Averaging for Federated Learning. CoRR abs/2201.11986 (2022) - [i3]Alessio Mora, Irene Tenison, Paolo Bellavista, Irina Rish:
Knowledge Distillation for Federated Learning: a Practical Guide. CoRR abs/2211.04742 (2022) - 2021
- [i2]Sreya Francis, Irene Tenison, Irina Rish:
Towards Causal Federated Learning For Enhanced Robustness and Privacy. CoRR abs/2104.06557 (2021) - [i1]Irene Tenison, Sreya Francis, Irina Rish:
Gradient Masked Federated Optimization. CoRR abs/2104.10322 (2021)
2010 – 2019
- 2019
- [c1]Irene Tenison, Rahul P. Bharathan, Don Kurian, Jerin Sam Rajan, T. P. Imthias Ahamed, Shafeeque K. Muhammedali:
Feynman Machine: A Cortical Machine Intelligence for Path Detection in Advanced Driver-Assistance Systems. TENCON 2019: 246-250
Coauthor Index
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