Ehsan Lari

According to our database, Ehsan Lari authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing.

Ehsan Lari, Reza Arablouei, Stefan Werner

CoRR, February, 2026

Noise-robust and resource-efficient ADMM-based federated learning for WLS regression.

Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner

Signal Process., 2026

2025

Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing.

Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner

IEEE Trans. Signal Inf. Process. over Networks, 2025

2024

Noise-Robust and Resource-Efficient ADMM-based Federated Learning.

Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner

CoRR, 2024

Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks.

Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner

CoRR, 2024

On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing.

Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner

Proceedings of the IEEE International Conference on Acoustics, 2024

Distributed Maximum Consensus Over Noisy Links.

Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner

Proceedings of the 32nd European Signal Processing Conference, 2024

Privacy-Preserving Distributed Nonnegative Matrix Factorization.

Ehsan Lari, Reza Arablouei, Stefan Werner

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Resource-Efficient Federated Learning Robust to Communication Errors.

Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise.

Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023