| Federated multi-task learning V Smith, CK Chiang, M Sanjabi, A Talwalkar arXiv preprint arXiv:1705.10467, 2017 | 449 | 2017 |
| Federated Optimization in Heterogeneous Networks T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith arXiv preprint arXiv:1812.06127, 2018 | 242 | 2018 |
| Linear Transceiver Design for Interference Alignment: Complexity and Computation M Razaviyayn, M Sanjabi, ZQ Luo IEEE Transactions on Information Theory ( Volume: 58 , Issue: 5 , May 2012 …, 2012 | 178 | 2012 |
| Linear transceiver design for interference alignment: Complexity and computation M Razaviyayn, M Sanjabi Boroujeni, ZQ Luo Signal Processing Advances in Wireless Communications (SPAWC), 2010 IEEE …, 2010 | 178 | 2010 |
| Solving a class of non-convex min-max games using iterative first order methods M Nouiehed, M Sanjabi, T Huang, JD Lee, M Razaviyayn arXiv preprint arXiv:1902.08297, 2019 | 102* | 2019 |
| Fair resource allocation in federated learning T Li, M Sanjabi, A Beirami, V Smith arXiv preprint arXiv:1905.10497, 2019 | 90 | 2019 |
| Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? E Song, Q Shi, M Sanjabi, RY Sun, ZQ Luo EURASIP Journal on Wireless Communications and Networking 2012 (1), 1-11, 2012 | 81 | 2012 |
| A stochastic successive minimization method for nonsmooth nonconvex optimization with applications to transceiver design in wireless communication networks M Razaviyayn, M Sanjabi, ZQ Luo Mathematical Programming 157 (2), 515-545, 2016 | 80 | 2016 |
| On the Convergence and Robustness of Training GANs with Regularized Optimal Transport M Sanjabi, B Jimmy, M Razaviyayn, JD Lee Advances in Neural Information Processing Systems, 7088--7098, 2018 | 65* | 2018 |
| Optimal joint base station assignment and beamforming for heterogeneous networks M Sanjabi, M Razaviyayn, ZQ Luo IEEE Transactions on Signal Processing 62 (8), 1950-1961, 2014 | 65 | 2014 |
| Accelerated alternating direction method of multipliers M Kadkhodaie, K Christakopoulou, M Sanjabi, A Banerjee Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 50 | 2015 |
| Cross-layer provision of future cellular networks: A WMMSE-based approach H Baligh, M Hong, WC Liao, ZQ Luo, M Razaviyayn, M Sanjabi, R Sun IEEE Signal Processing Magazine 31 (6), 56-68, 2014 | 36 | 2014 |
| Optimal joint base station assignment and downlink beamforming for heterogeneous networks M Sanjabi, M Razaviyayn, ZQ Luo 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 34 | 2012 |
| A stochastic weighted MMSE approach to sum rate maximization for a MIMO interference channel M Razaviyayn, MS Boroujeni, ZQ Luo 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless …, 2013 | 29 | 2013 |
| Federated optimization for heterogeneous networks AK Sahu, T Li, M Sanjabi, M Zaheer, A Talwalkar, V Smith arXiv preprint arXiv:1812.06127 1 (2), 3, 2018 | 25 | 2018 |
| Feddane: A federated newton-type method T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smithy 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1227-1231, 2019 | 17 | 2019 |
| On the linear convergence of the approximate proximal splitting method for non-smooth convex optimization M Kadkhodaie, M Sanjabi, ZQ Luo Journal of the Operations Research Society of China 2 (2), 123-141, 2014 | 12 | 2014 |
| Nonconvex min-max optimization: Applications, challenges, and recent theoretical advances M Razaviyayn, T Huang, S Lu, M Nouiehed, M Sanjabi, M Hong IEEE Signal Processing Magazine 37 (5), 55-66, 2020 | 8 | 2020 |
| Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information M Sanjabi, M Hong, M Razaviyayn, ZQ Luo 2014 IEEE 15th International Workshop on Signal Processing Advances in …, 2014 | 4 | 2014 |
| Tilted empirical risk minimization T Li, A Beirami, M Sanjabi, V Smith arXiv preprint arXiv:2007.01162, 2020 | 3 | 2020 |
Meisam RazaviyaynUniversity of Southern CaliforniaVerified email at usc.edu
