Added new papers citation

docs/publications.rst

@@ -72,3 +72,22 @@ Other Publications (using or citing E2Clab)
   Decision Analysis Tools Applied to Distributed Reinforcement Learning. ScaDL 2022 -
   Scalable Deep Learning over Parallel and Distributed Infrastructures - An IPDPS Workshop,
   Jun 2022, Lyon / Virtual, France. pp.1-10. ⟨https://hal.archives-ouvertes.fr/hal-03613558⟩
+
+- Cédric Prigent, Alexandru Costan, Gabriel Antoniu, Loïc Cudennec. Enabling Federated Learning
+  across the Computing Continuum: Systems, Challenges and Future Directions. Future Generation
+  Computer Systems, 2024, 160, pp.767-783. <https://hal.science/hal-04659211>
+
+- Cédric Prigent, Melvin Chelli, Alexandru Costan, Loïc Cudennec, René Schubotz, et al.. Efficient
+  Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-
+  Cloud Continuum. HiPC 2024 - 31st IEEE International Conference on High Performance Computing,
+  Data, and Analytics, Dec 2024, Bengaluru (Bangalore), India. pp.1-11. <https://hal.science/hal-04779813>
+
+- Melvin Chelli, Cédric Prigent, René Schubotz, Alexandru Costan, Gabriel Antoniu, et al.. FedGuard:
+  Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning. Cluster 2023
+  - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New Mexico, United
+  States. pp.1-10. <https://hal.science/hal-04208787>
+
+- Mathis Valli, Alexandru Costan, Cédric Tedeschi, Loïc Cudennec. Towards Efficient Learning on the
+  Computing Continuum: Advancing Dynamic Adaptation of Federated Learning. FlexScience 2024 -
+  14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures,
+  Jun 2024, Pisa, Italy. pp.42-49. <https://hal.science/hal-04698619>