Sema Fatma Oktug
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Computer Networks and Communications — 37 citations into it
- Electrical and Electronic Engineering — 37 citations into it
- Federated & Distributed Learning — 24 citations into it
- Ocean Engineering — 19 citations into it
Whom Sema Fatma Oktug trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sema Fatma Oktug's perspective
Ordered by how strongly the researchers Sema Fatma Oktug trusts endorse each paper. Same corpus, a different order for every researcher.
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
- Advances and Open Problems in Federated Learning (Found. Trends Mach. Learn.)
- Dynamic fine-grained localization in Ad-Hoc networks of sensors (ACM/IEEE International Conference on Mobile Computing and Networking)
- Research challenges and applications for underwater sensor networking (IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.)
- Towards Federated Learning at Scale: System Design
- Underwater acoustic sensor networks: research challenges (Ad hoc networks)
- GPS-less low-cost outdoor localization for very small devices (IEEE wireless communications)
- Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory
- Time Synchronization for High Latency Acoustic Networks (Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications)
Their papers
- A Survey of Architectures and Localization Techniques for Underwater Acoustic Sensor Networks (2011) — 452 citations
- Federated Learning in Smart City Sensing: Challenges and Opportunities (2020) — 295 citations