Alex Iacob - RankMe

18 papers A* 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LoRDO: Distributed Low-Rank Optimization with Infrequent Communication. CoRR Andrej Jovanovic, Alex Iacob, Mher Safaryan, Ionut-Vlad Modoranu, Lorenzo Sani, William F. Shen, Xinchi Qiu, Dan Alistarh, Nicholas D. Lane
2025	J	`jnl`	AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. CoRR Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	A*	`conf`	DEPT: Decoupled Embeddings for Pre-training Language Models. ICLR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane
2025	J	`jnl`	DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. CoRR Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	J	`jnl`	LUNAR: LLM Unlearning via Neural Activation Redirection. CoRR William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates. CoRR Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	—	`conf`	Photon: Federated LLM Pre-Training. MLSys Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane
2025	A*	`conf`	SparsyFed: Sparse Adaptive Federated Learning. ICLR Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas Donald Lane
2025	J	`jnl`	SparsyFed: Sparse Adaptive Federated Training. CoRR Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas D. Lane
2024	J	`jnl`	DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane
2024	J	`jnl`	FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
2024	J	`jnl`	Photon: Federated LLM Pre-Training. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane
2024	J	`jnl`	The Future of Large Language Model Pre-training is Federated. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane
2024	J	`jnl`	Worldwide Federated Training of Language Models. CoRR Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane
2023	—	`conf`	Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	J	`jnl`	Can Fair Federated Learning reduce the need for Personalisation? CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	J	`jnl`	High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane
2023	J	`jnl`	Privacy in Multimodal Federated Human Activity Recognition. CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville