| Flower: A friendly federated learning research framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... arXiv preprint arXiv:2007.14390, 2020 | 1631 | 2020 |
| The future of large language model pre-training is federated L Sani, A Iacob, Z Cao, B Marino, Y Gao, T Paulik, W Zhao, WF Shen, ... arXiv preprint arXiv:2405.10853, 2024 | 44 | 2024 |
| Photon: Federated llm pre-training L Sani, A Iacob, Z Cao, R Lee, B Marino, Y Gao, W Zhao, D Cai, Z Li, ... Proceedings of Machine Learning and Systems 7, 2025 | 19 | 2025 |
| Lunar: Llm unlearning via neural activation redirection WF Shen, X Qiu, M Kurmanji, A Iacob, L Sani, Y Chen, N Cancedda, ... arXiv preprint arXiv:2502.07218, 2025 | 13 | 2025 |
| Sheaf hypernetworks for personalized federated learning B Nguyen, L Sani, X Qiu, P Liò, ND Lane arXiv preprint arXiv:2405.20882, 2024 | 10 | 2024 |
| Worldwide federated training of language models A Iacob, L Sani, B Marino, P Aleksandrov, WF Shen, ND Lane arXiv preprint arXiv:2405.14446, 2024 | 8 | 2024 |
| Fedanchor: Enhancing federated semi-supervised learning with label contrastive loss for unlabeled clients X Qiu, Y Gao, L Sani, H Pan, W Zhao, PPB Gusmao, M Alibeigi, A Iacob, ... arXiv preprint arXiv:2402.10191, 2024 | 7 | 2024 |
| Pollen: High-throughput federated learning simulation via resource-aware client placement L Sani, PPB de Gusmão, A Iacob, W Zhao, X Qiu, Y Gao, ... arXiv preprint arXiv:2306.17453, 2023 | 5* | 2023 |
| Abbie: Autoregressive block-based iterative encoder for efficient sequence modeling P Aleksandrov, M Kurmanji, FG Redondo, D O'Shea, W Shen, A Iacob, ... arXiv preprint arXiv:2507.08567, 2025 | 3 | 2025 |
| DEPT: Decoupled Embeddings for Pre-training Language Models A Iacob, L Sani, M Kurmanji, WF Shen, X Qiu, D Cai, Y Gao, ND Lane arXiv preprint arXiv:2410.05021, 2024 | 3 | 2024 |
| LLM unlearning via neural activation redirection WF Shen, X Qiu, M Kurmanji, A Iacob, L Sani, Y Chen, N Cancedda, ... The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | 2 | 2025 |
| DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models A Iacob, L Sani, M Safaryan, P Giampouras, S Horváth, A Jovanovic, ... arXiv preprint arXiv:2505.22549, 2025 | 1 | 2025 |
| SparsyFed: Sparse Adaptive Federated Training A Guastella, L Sani, A Iacob, A Mora, P Bellavista, ND Lane arXiv preprint arXiv:2504.05153, 2025 | 1 | 2025 |
| MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates A Iacob, A Jovanovic, M Safaryan, M Kurmanji, L Sani, S Horváth, ... arXiv preprint arXiv:2510.05361, 2025 | | 2025 |
| Unsupervised clustering of MDS data using federated learning L Sani | | 2022 |
| Towards Controlled LLM Unlearning WF Shen, X Qiu, M Kurmanji, A Iacob, L Sani, Y Chen, N Cancedda, ... Lock-LLM Workshop: Prevent Unauthorized Knowledge Use from Large Language Models, 0 | | |
| WORLDWIDE EDGE-SILO FEDERATED LEARNING OF LANGUAGE MODELS A Iacob, L Sani, B Marino, P Aleksandrov, WF Shen, ND Lane | | |
| SparseFedPP: sparse federated learning for hardware-constrained edge-devices A Guastella, A Mora, P Bellavista, L Sani, AA Iacob, ND Lane | | |
