Samarakoon, Sumudu

Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications

Samarakoon, S., Bennis, M., Saad, W., & Debbah, M. (2020) · IEEE Transactions on Communications

Vehicular Ad Hoc Networks (VANETs)Advanced Wireless Network Optimization

Cited by 459

6G White Paper on Edge Intelligence

Peltonen, E., Bennis, M., Capobianco, M., Debbah, M., Ding, A., Gil-Castiñeira, F., Jurmu, M., Karvonen, T., Kelanti, M., Kliks, A., et al. (2020) · arXiv

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 118

Wireless Network Intelligence at the Edge

Park, J., Samarakoon, S., Bennis, M., & Debbah, M. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 92

Federated Learning for Ultra-Reliable Low-Latency V2V Communications

Samarakoon, S., Bennis, M., Saad, W., & Debbah, M. (2018) · 2018 IEEE Global Communications Conference (GLOBECOM)

Vehicular Ad Hoc Networks (VANETs)Advanced Wireless Network Optimization

Cited by 25

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

Park, J., Samarakoon, S., Elgabli, A., Kim, J., Bennis, M., Kim, S.-L., & Debbah, M. (2021) · Proceedings of the IEEE

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 25

Joint Client Scheduling and Resource Allocation Under Channel Uncertainty in Federated Learning

Wadu, M. M., Samarakoon, S., & Bennis, M. (2021) · IEEE Transactions on Communications

Privacy-Preserving Technologies in DataAdvanced Wireless Network Optimization

Cited by 2