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2020 – today
- 2024
[c5]Ehsan Lari, Reza Arablouei, Stefan Werner:
Privacy-Preserving Distributed Nonnegative Matrix Factorization. EUSIPCO 2024: 1022-1026- [c4]Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Maximum Consensus Over Noisy Links. EUSIPCO 2024: 2247-2251 - [c3]Ehsan Lari
, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing. ICASSP 2024: 9201-9205 - [i4]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks. CoRR abs/2403.13108 (2024) - [i3]Ehsan Lari, Reza Arablouei, Stefan Werner:
Privacy-Preserving Distributed Nonnegative Matrix Factorization. CoRR abs/2403.18326 (2024) - [i2]Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Maximum Consensus over Noisy Links. CoRR abs/2403.18509 (2024) - [i1]Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner:
Noise-Robust and Resource-Efficient ADMM-based Federated Learning. CoRR abs/2409.13451 (2024) - 2023
- [c2]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise. APSIPA ASC 2023: 1199-1203 - [c1]Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner:
Resource-Efficient Federated Learning Robust to Communication Errors. SSP 2023: 265-269
Coauthor Index
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