Mohamed S. Hefeida

Computer Networks and Communications · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Mohamed S. Hefeida trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Umair Yaqub
2. Jaehyun Park
3. Yann LeCun

Papers from Mohamed S. Hefeida's perspective

Ordered by how strongly the researchers Mohamed S. Hefeida trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices
3. Fog and IoT: An Overview of Research Opportunities
4. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
5. When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning
6. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks
7. Energy Efficient Federated Learning Over Wireless Communication Networks
8. General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming
9. Adaptive Task Allocation for Mobile Edge Learning
10. Demo abstract: Distributed machine learning at resource-limited edge nodes

Their papers

• Task Allocation for Mobile Federated and Offloaded Learning with Energy and Delay Constraints (2020) — 11 citations