| Cartel: A system for collaborative transfer learning at the edge H Daga, PK Nicholson, A Gavrilovska, D Lugones Proceedings of the ACM Symposium on Cloud Computing, 25-37, 2019 | 58 | 2019 |
| From back-of-the-envelope to informed estimation of edge computing benefits in minutes using Castnet H Daga, H Yoon, K Bhardwaj, H Gupta, A Gavrilovska 2019 IEEE International Conference on Fog Computing (ICFC), 165-174, 2019 | 7 | 2019 |
| Flame: Simplifying topology extension in federated learning H Daga, J Shin, D Garg, A Gavrilovska, M Lee, RR Kompella Proceedings of the 2023 ACM Symposium on Cloud Computing, 341-357, 2023 | 6 | 2023 |
| Clue: Systems support for knowledge transfer in collaborative learning with neural nets H Daga, Y Chen, A Agrawal, A Gavrilovska IEEE Transactions on Cloud Computing 11 (4), 3541-3554, 2023 | 5 | 2023 |
| Federated learning operations made simple with flame H Daga, J Shin, D Garg, A Gavrilovska, M Lee, RR Kompella arXiv preprint, 2023 | 5 | 2023 |
| Canoe: A system for collaborative learning for neural nets H Daga, Y Chen, A Agrawal, A Gavrilovska arXiv preprint arXiv:2108.12124, 2021 | 3 | 2021 |
| Extending machine learning workloads M Lee, H Daga, RRVR Kompella US Patent 11,822,976, 2023 | | 2023 |
| Multi-mode Learning: Not one learning mode is strictly better than the other H Daga, A Gavrilovska FedEdge, 2023 | | 2023 |
| Dynamic topology reconfiguration in federated learning systems H Daga, M Lee, RRVR Kompella US Patent App. 17/683,886, 2023 | | 2023 |
| System Support for Collaborative Learning in Distributed Edge Cloud Environment H Daga Goergia Institute of Technology, 2023 | | 2023 |
| Cartel: Collaborative Edge Learning D Harshit, G Ada, N Patrick, D Lugones ACM/IEEE Symposium on Edge Computing (SEC), 0 | | |
