docs: Add FairGrad and FairGradWeighting to README table

README.md

@@ -283,6 +283,7 @@ TorchJD provides many existing aggregators from the literature, listed in the fo
 | [Constant](https://torchjd.org/stable/docs/aggregation/constant#torchjd.aggregation.Constant)              | [ConstantWeighting](https://torchjd.org/stable/docs/aggregation/constant#torchjd.aggregation.ConstantWeighting)        | -                                                                                                                                                                    |
 | -                                                                                                           | [CRMOGMWeighting](https://torchjd.org/stable/docs/aggregation/cr_mogm/#torchjd.aggregation.CRMOGMWeighting)           | [On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond](https://proceedings.neurips.cc/paper_files/paper/2022/file/f91bd64a3620aad8e70a27ad9cb3ca57-Paper-Conference.pdf) |
 | [DualProj](https://torchjd.org/stable/docs/aggregation/dualproj#torchjd.aggregation.DualProj)              | [DualProjWeighting](https://torchjd.org/stable/docs/aggregation/dualproj#torchjd.aggregation.DualProjWeighting)        | [Gradient Episodic Memory for Continual Learning](https://arxiv.org/pdf/1706.08840)                                                                                  |
+| [FairGrad](https://torchjd.org/stable/docs/aggregation/fairgrad#torchjd.aggregation.FairGrad)              | [FairGradWeighting](https://torchjd.org/stable/docs/aggregation/fairgrad#torchjd.aggregation.FairGradWeighting)        | [Fair Resource Allocation in Multi-Task Learning](https://arxiv.org/pdf/2402.15638)                                                                                  |
 | [GradDrop](https://torchjd.org/stable/docs/aggregation/graddrop#torchjd.aggregation.GradDrop)              | -                                                                                                                      | [Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout](https://arxiv.org/pdf/2010.06808)                                                    |
 | [GradVac](https://torchjd.org/stable/docs/aggregation/gradvac#torchjd.aggregation.GradVac)              | [GradVacWeighting](https://torchjd.org/stable/docs/aggregation/gradvac#torchjd.aggregation.GradVacWeighting)                                                                                                                      | [Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models](https://arxiv.org/pdf/2010.05874)                                                    |
 | [IMTLG](https://torchjd.org/stable/docs/aggregation/imtl_g#torchjd.aggregation.IMTLG)                      | [IMTLGWeighting](https://torchjd.org/stable/docs/aggregation/imtl_g#torchjd.aggregation.IMTLGWeighting)                | [Towards Impartial Multi-task Learning](https://discovery.ucl.ac.uk/id/eprint/10120667/)                                                                             |