Ehsan Lari

12 papers Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Noise-robust and resource-efficient ADMM-based federated learning for WLS regression.
Signal Process.
Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner
2026 J jnl
PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing.
CoRR
Ehsan Lari, Reza Arablouei, Stefan Werner
2025 J jnl
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing.
IEEE Trans. Signal Inf. Process. over Networks
Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner
2024 J jnl
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks.
CoRR
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2024 — conf
Distributed Maximum Consensus Over Noisy Links.
EUSIPCO
Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner
2024 J jnl
Distributed Maximum Consensus over Noisy Links.
CoRR
Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner
2024 J jnl
Noise-Robust and Resource-Efficient ADMM-based Federated Learning.
CoRR
Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner
2024 Misc conf
On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing.
ICASSP
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2024 — conf
Privacy-Preserving Distributed Nonnegative Matrix Factorization.
EUSIPCO
Ehsan Lari, Reza Arablouei, Stefan Werner
2024 J jnl
Privacy-Preserving Distributed Nonnegative Matrix Factorization.
CoRR
Ehsan Lari, Reza Arablouei, Stefan Werner
2023 — conf
Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise.
APSIPA ASC
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
2023 — conf
Resource-Efficient Federated Learning Robust to Communication Errors.
SSP
Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner