| Model pruning enables efficient federated learning on edge devices Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10374-10386, 2022 | 496 | 2022 |
| Quantum optimization: Potential, challenges, and the path forward A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 2023 | 80 | 2023 |
| Maximizing LTE capacity in unlicensed bands (LTE-U/LAA) while fairly coexisting with 802.11 WLANs V Valls, A Garcia-Saavedra, X Costa, DJ Leith IEEE Communications Letters 20 (6), 1219-1222, 2016 | 57 | 2016 |
| Performance analysis of IEEE 802.11ac wireless backhaul networks in saturated conditions R Liao, B Bellalta, J Barcelo, V Valls, M Oliver EURASIP Journal on Wireless Communications and Networking 2013 (1), 1-14, 2013 | 50 | 2013 |
| ORLA/OLAA: Orthogonal coexistence of LAA and WiFi in unlicensed spectrum A Garcia-Saavedra, P Patras, V Valls, X Costa-Perez, DJ Leith IEEE/ACM Transactions on Networking 26 (6), 2665-2678, 2018 | 27 | 2018 |
| LaSR: A supple multi-connectivity scheduler for multi-RAT OFDMA systems L Diez, A Garcia-Saavedra, V Valls, X Li, X Costa-Perez, R Agüero IEEE Transactions on Mobile Computing 19 (3), 624-639, 2018 | 27 | 2018 |
| Proportional fair MU-MIMO in 802.11 WLANs V Valls, DJ Leith IEEE Wireless Communications Letters 3 (2), 221-224, 2014 | 19 | 2014 |
| Quantum optimization: Potential, challenges, and the path forward (2023) A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 0 | 19 | |
| Birkhoff’s decomposition revisited: Sparse scheduling for high-speed circuit switches V Valls, G Iosifidis, L Tassiulas IEEE/ACM Transactions on Networking 29 (6), 2399-2412, 2021 | 16 | 2021 |
| Measurement-driven analysis of an edge-assisted object recognition system A Galanopoulos, V Valls, G Iosifidis, DJ Leith ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020 | 16 | 2020 |
| A convex optimization approach to discrete optimal control V Valls, DJ Leith arXiv preprint arXiv:1701.02414, 2017 | 16 | 2017 |
| Online convex optimization with perturbed constraints: Optimal rates against stronger benchmarks V Valls, G Iosifidis, D Leith, L Tassiulas International Conference on Artificial Intelligence and Statistics, 2885-2895, 2020 | 14 | 2020 |
| Online network flow optimization for multi-grade service chains V Valls, G Iosifidis, G De Mel, L Tassiulas IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1329-1338, 2020 | 13 | 2020 |
| Maximum lifetime analytics in IoT networks V Valls, G Iosifidis, T Salonidis IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1369-1377, 2019 | 13 | 2019 |
| Max-weight revisited: Sequences of nonconvex optimizations solving convex optimizations V Valls, DJ Leith IEEE/ACM Transactions on Networking, 2014 | 13 | 2014 |
| Full exploitation of limited memory in quantum entanglement switching P Promponas, V Valls, L Tassiulas 2023 IFIP Networking Conference (IFIP Networking), 1-9, 2023 | 8 | 2023 |
| Model pruning enables efficient federated learning on edge devices. arXiv 2019 Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas arXiv preprint arXiv:1909.12326, 0 | 8 | |
| Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery HT Lam, ML Sbodio, MM Galindo, M Zayats, R Fernandez-Diaz, V Valls, ... arXiv preprint arXiv:2306.12802, 2023 | 7 | 2023 |
| Sensor information fueling open data M Oliver, M Palacin, A Domingo, V Valls 2012 IEEE 36th Annual Computer Software and Applications Conference …, 2012 | 7 | 2012 |
| Challenges and opportunities in quantum optimization A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... Nature Reviews Physics, 1-18, 2024 | 5 | 2024 |
Leandros TassiulasProfessor of Electrical Engineering, Yale UniversityVerificeret mail på yale.edu
